From c323d3a0902e106f1fceebbc4827f07ac15699c5 Mon Sep 17 00:00:00 2001 From: nakul-krishnakumar Date: Wed, 20 May 2026 12:42:51 +0530 Subject: [PATCH 1/4] feat: add `ml/base/loss/float64/hinge-gradient` --- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: passed - task: lint_package_json status: passed - task: lint_repl_help status: passed - task: lint_javascript_src status: passed - task: lint_javascript_cli status: na - task: lint_javascript_examples status: passed - task: lint_javascript_tests status: passed - task: lint_javascript_benchmarks status: passed - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: passed - task: lint_c_examples status: passed - task: lint_c_benchmarks status: passed - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - 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lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/main.c create mode 100644 lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/REQUIRE create mode 100755 lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/runner.jl create mode 100644 lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_negative.json create mode 100644 lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_positive.json create mode 100644 lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_negative.json create mode 100644 lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_positive.json create mode 100644 lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js create mode 100644 lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/README.md b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/README.md new file mode 100644 index 000000000000..ac8b4e52f227 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/README.md @@ -0,0 +1,235 @@ + + +# hingeGradient + +> Compute the [hinge loss gradient][hinge-loss-gradient] between two double-precision floating-point numbers. + +
+ +The [hinge loss gradient][hinge-loss-gradient] is defined as + + + +```math +\frac{\partial \ell}{\partial w_i} = +\begin{cases} +-yx_i & \text{if } yp < 1 \\ +0 & \text{otherwise} +\end{cases} +``` + + + +
+ + + +
+ +## Usage + +```javascript +var hingeGradient = require( '@stdlib/ml/base/loss/float64/hinge-gradient' ); +``` + +#### hingeGradient( x, y, p ) + +Computes the [hinge loss gradient][hinge-loss-gradient] between two double-precision floating-point numbers. + +```javascript +var v = hingeGradient( 3.0, 1.0, 0.782 ); +// returns -3.0 + +v = hingeGradient( -1.3, 1.0, -0.999 ); +// returns 1.3 +``` + +If any argument is `NaN`, the function returns `NaN`. + +```javascript +var v = hingeGradient( NaN, 1.0, 0.782 ); +// returns NaN + +v = hingeGradient( 1.0, NaN, 0.782 ); +// returns NaN + +v = hingeGradient( NaN, NaN, 0.782 ); +// returns NaN + +v = hingeGradient( NaN, NaN, NaN ); +// returns NaN +``` + +If `y` is not +1 or -1, the function returns `NaN`. + +```javascript +var v = hingeGradient( 3.0, -0.9, 1.0 ); +// returns NaN + +v = hingeGradient( 2.4, 0.453, 0.76 ); +// returns NaN +``` + +
+ + + +
+ +## Examples + + + +```javascript +var uniform = require( '@stdlib/random/array/uniform' ); +var sample = require( '@stdlib/random/sample' ); +var logEachMap = require( '@stdlib/console/log-each-map' ); +var hingeGradient = require( '@stdlib/ml/base/loss/float64/hinge-gradient' ); + +var y = sample( [ -1.0, 1.0 ], { + 'size': 100 +}); +var x = uniform( 100, -100.0, 100.0, { + 'dtype': 'float64' +}); +var p = uniform( 100, -5.0, 5.0, { + 'dtype': 'float64' +}); + +logEachMap( 'hingeGradient(%0.4f, %0.4f, %0.4f) = %0.4f', x, y, p, hingeGradient ); + +``` + +
+ + + + + +* * * + +
+ +## C APIs + + + +
+ +
+ + + + + +
+ +### Usage + +```c +#include "stdlib/ml/base/loss/float64/hinge_gradient.h" +``` + +#### stdlib_base_float64_hinge_gradient( x, y, p ) + +Computes the [hinge loss gradient][hinge-loss-gradient] between two double-precision floating-point numbers. + +```c +double out = stdlib_base_float64_hinge_gradient( 3.0, 1.0, 0.782 ); +// returns -3.0 +``` + +The function accepts the following arguments: + +- **x**: `[in] double` input value. +- **y**: `[in] double` true target value. +- **p**: `[in] double` predicted value. + +```c +double stdlib_base_float64_hinge_gradient( const double x, const double y, const double p ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +### Examples + +```c +#include "stdlib/ml/base/loss/float64/hinge_gradient.h" +#include + +int main( void ) { + const double x[] = { -10.0, -9.56, -8.67, -7.78, -6.89, 6.89, 7.78, 8.67, 9.56, 10.0 }; + const double y[] = { -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0 }; + const double p[] = { -5.0, -3.89, -2.78, -1.67, -0.56, 0.56, 1.67, 2.78, 3.89, 5.0 }; + + double v; + int i; + for ( i = 0; i < 10; i++ ) { + v = stdlib_base_float64_hinge_gradient( x[ i ], y[ i ], p[ i ] ); + printf( "hingeGradient(%lf, %lf, %lf) = %lf\n", x[ i ], y[ i ], p[ i ], v ); + } +} +``` + +
+ + + +
+ + + + + +
+ +
+ + + + + +
+ +[hinge-loss-gradient]: https://en.wikipedia.org/wiki/Hinge_loss#Optimization + + + + + + +
+ + diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/benchmark.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/benchmark.js new file mode 100644 index 000000000000..09ef58274453 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/benchmark.js @@ -0,0 +1,61 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var sample = require( '@stdlib/random/sample' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pkg = require( './../package.json' ).name; +var hingeGradient = require( './../lib' ); + + +// MAIN // + +bench( pkg, function benchmark( b ) { + var len; + var x; + var y; + var p; + var v; + var i; + + len = 100; + y = sample( [ -1.0, 1.0 ], { + 'size': len + }); + x = uniform( len, -100.0, 100.0 ); + p = uniform( len, -2.0, 2.0 ); + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = hingeGradient( x[ i%x.length ], y[ i%y.length ], p[ i%p.length ] ); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/benchmark.native.js new file mode 100644 index 000000000000..90c9dedfc62b --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/benchmark.native.js @@ -0,0 +1,71 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var resolve = require( 'path' ).resolve; +var bench = require( '@stdlib/bench' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var sample = require( '@stdlib/random/sample' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var format = require( '@stdlib/string/format' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var hingeGradient = tryRequire( resolve( __dirname, './../lib/native.js' ) ); +var opts = { + 'skip': ( hingeGradient instanceof Error ) +}; + + +// MAIN // + +bench( format( '%s::native', pkg ), opts, function benchmark( b ) { + var len; + var x; + var y; + var p; + var v; + var i; + + len = 100; + y = sample( [ -1.0, 1.0 ], { + 'size': len + }); + x = uniform( len, -100.0, 100.0 ); + p = uniform( len, -2.0, 2.0 ); + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = hingeGradient( x[ i%x.length ], y[ i%y.length ], p[ i%p.length ] ); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/c/native/Makefile b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/c/native/Makefile new file mode 100644 index 000000000000..979768abbcec --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/c/native/Makefile @@ -0,0 +1,146 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2026 The Stdlib Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +#/ + +# VARIABLES # + +ifndef VERBOSE + QUIET := @ +else + QUIET := +endif + +# Determine the OS ([1][1], [2][2]). +# +# [1]: https://en.wikipedia.org/wiki/Uname#Examples +# [2]: http://stackoverflow.com/a/27776822/2225624 +OS ?= $(shell uname) +ifneq (, $(findstring MINGW,$(OS))) + OS := WINNT +else +ifneq (, $(findstring MSYS,$(OS))) + OS := WINNT +else +ifneq (, $(findstring CYGWIN,$(OS))) + OS := WINNT +else +ifneq (, $(findstring Windows_NT,$(OS))) + OS := WINNT +endif +endif +endif +endif + +# Define the program used for compiling C source files: +ifdef C_COMPILER + CC := $(C_COMPILER) +else + CC := gcc +endif + +# Define the command-line options when compiling C files: +CFLAGS ?= \ + -std=c99 \ + -O3 \ + -Wall \ + -pedantic + +# Determine whether to generate position independent code ([1][1], [2][2]). +# +# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options +# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option +ifeq ($(OS), WINNT) + fPIC ?= +else + fPIC ?= -fPIC +endif + +# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`): +INCLUDE ?= + +# List of source files: +SOURCE_FILES ?= + +# List of libraries (e.g., `-lopenblas -lpthread`): +LIBRARIES ?= + +# List of library paths (e.g., `-L /foo/bar -L /beep/boop`): +LIBPATH ?= + +# List of C targets: +c_targets := benchmark.out + + +# RULES # + +#/ +# Compiles source files. +# +# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`) +# @param {string} [CFLAGS] - C compiler options +# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`) +# @param {string} [SOURCE_FILES] - list of source files +# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`) +# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`) +# +# @example +# make +# +# @example +# make all +#/ +all: $(c_targets) + +.PHONY: all + +#/ +# Compiles C source files. +# +# @private +# @param {string} CC - C compiler (e.g., `gcc`) +# @param {string} CFLAGS - C compiler options +# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`) +# @param {string} SOURCE_FILES - list of source files +# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`) +# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`) +#/ +$(c_targets): %.out: %.c + $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES) + +#/ +# Runs compiled benchmarks. +# +# @example +# make run +#/ +run: $(c_targets) + $(QUIET) ./$< + +.PHONY: run + +#/ +# Removes generated files. +# +# @example +# make clean +#/ +clean: + $(QUIET) -rm -f *.o *.out + +.PHONY: clean diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/c/native/benchmark.c b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/c/native/benchmark.c new file mode 100644 index 000000000000..8454a965c7da --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/benchmark/c/native/benchmark.c @@ -0,0 +1,161 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +#include "stdlib/ml/base/loss/float64/hinge_gradient.h" +#include +#include +#include +#include +#include + +#define NAME "hinge_gradient" +#define ITERATIONS 1000000 +#define REPEATS 3 + +/** +* Prints the TAP version. +*/ +static void print_version( void ) { + printf( "TAP version 13\n" ); +} + +/** +* Prints the TAP summary. +* +* @param total total number of tests +* @param passing total number of passing tests +*/ +static void print_summary( int total, int passing ) { + printf( "#\n" ); + printf( "1..%d\n", total ); // TAP plan + printf( "# total %d\n", total ); + printf( "# pass %d\n", passing ); + printf( "#\n" ); + printf( "# ok\n" ); +} + +/** +* Prints benchmarks results. +* +* @param elapsed elapsed time in seconds +*/ +static void print_results( double elapsed ) { + double rate = (double)ITERATIONS / elapsed; + printf( " ---\n" ); + printf( " iterations: %d\n", ITERATIONS ); + printf( " elapsed: %0.9f\n", elapsed ); + printf( " rate: %0.9f\n", rate ); + printf( " ...\n" ); +} + +/** +* Returns a clock time. +* +* @return clock time +*/ +static double tic( void ) { + struct timeval now; + gettimeofday( &now, NULL ); + return (double)now.tv_sec + (double)now.tv_usec/1.0e6; +} + +/** +* Generates a random number on the interval [min,max). +* +* @param min minimum value (inclusive) +* @param max maximum value (exclusive) +* @return random number +*/ +static double random_uniform( const double min, const double max ) { + double v = (double)rand() / ( (double)RAND_MAX + 1.0 ); + return min + ( v*(max-min) ); +} + +/** +* Randomly samples either +1 or -1. +* +* @return randomly sampled value (+1 or -1) +*/ +static double random_sample( void ) { + double v = (double)rand() / ( (double)RAND_MAX ); + if ( v >= 0.5 ) { + return 1.0; + } + return -1.0; +} + +/** +* Runs a benchmark. +* +* @return elapsed time in seconds +*/ +static double benchmark( void ) { + double elapsed; + double *x; + double *p; + double *y; + double v; + double t; + int i; + + x = (double *) malloc( 100 * sizeof( double ) ); + p = (double *) malloc( 100 * sizeof( double ) ); + y = (double *) malloc( 100 * sizeof( double ) ); + for ( i = 0; i < 100; i++ ) { + y[ i ] = random_sample(); + x[ i ] = random_uniform( -100.0, 100.0 ); + p[ i ] = random_uniform( -2.0, 2.0 ); + } + + t = tic(); + for ( i = 0; i < ITERATIONS; i++ ) { + v = stdlib_base_float64_hinge_gradient( x[ i%100 ], y[ i % 100 ], p[ i % 100 ] ); + if ( v != v ) { + printf( "should not return NaN\n" ); + break; + } + } + elapsed = tic() - t; + if ( v != v ) { + printf( "should not return NaN\n" ); + } + free( x ); + free( y ); + free( p ); + return elapsed; +} + +/** +* Main execution sequence. +*/ +int main( void ) { + double elapsed; + int i; + + // Use the current time to seed the random number generator: + srand( time( NULL ) ); + + print_version(); + for ( i = 0; i < REPEATS; i++ ) { + printf( "# c::native::%s\n", NAME ); + elapsed = benchmark(); + print_results( elapsed ); + printf( "ok %d benchmark finished\n", i+1 ); + } + print_summary( REPEATS, REPEATS ); +} diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/binding.gyp b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/binding.gyp new file mode 100644 index 000000000000..0d6508a12e99 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/binding.gyp @@ -0,0 +1,170 @@ +# @license Apache-2.0 +# +# Copyright (c) 2026 The Stdlib Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# A `.gyp` file for building a Node.js native add-on. +# +# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md +# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md +{ + # List of files to include in this file: + 'includes': [ + './include.gypi', + ], + + # Define variables to be used throughout the configuration for all targets: + 'variables': { + # Target name should match the add-on export name: + 'addon_target_name%': 'addon', + + # Set variables based on the host OS: + 'conditions': [ + [ + 'OS=="win"', + { + # Define the object file suffix: + 'obj': 'obj', + }, + { + # Define the object file suffix: + 'obj': 'o', + } + ], # end condition (OS=="win") + ], # end conditions + }, # end variables + + # Define compile targets: + 'targets': [ + + # Target to generate an add-on: + { + # The target name should match the add-on export name: + 'target_name': '<(addon_target_name)', + + # Define dependencies: + 'dependencies': [], + + # Define directories which contain relevant include headers: + 'include_dirs': [ + # Local include directory: + '<@(include_dirs)', + ], + + # List of source files: + 'sources': [ + '<@(src_files)', + ], + + # Settings which should be applied when a target's object files are used as linker input: + 'link_settings': { + # Define libraries: + 'libraries': [ + '<@(libraries)', + ], + + # Define library directories: + 'library_dirs': [ + '<@(library_dirs)', + ], + }, + + # C/C++ compiler flags: + 'cflags': [ + # Enable commonly used warning options: + '-Wall', + + # Aggressive optimization: + '-O3', + ], + + # C specific compiler flags: + 'cflags_c': [ + # Specify the C standard to which a program is expected to conform: + '-std=c99', + ], + + # C++ specific compiler flags: + 'cflags_cpp': [ + # Specify the C++ standard to which a program is expected to conform: + '-std=c++11', + ], + + # Linker flags: + 'ldflags': [], + + # Apply conditions based on the host OS: + 'conditions': [ + [ + 'OS=="mac"', + { + # Linker flags: + 'ldflags': [ + '-undefined dynamic_lookup', + '-Wl,-no-pie', + '-Wl,-search_paths_first', + ], + }, + ], # end condition (OS=="mac") + [ + 'OS!="win"', + { + # C/C++ flags: + 'cflags': [ + # Generate platform-independent code: + '-fPIC', + ], + }, + ], # end condition (OS!="win") + ], # end conditions + }, # end target <(addon_target_name) + + # Target to copy a generated add-on to a standard location: + { + 'target_name': 'copy_addon', + + # Declare that the output of this target is not linked: + 'type': 'none', + + # Define dependencies: + 'dependencies': [ + # Require that the add-on be generated before building this target: + '<(addon_target_name)', + ], + + # Define a list of actions: + 'actions': [ + { + 'action_name': 'copy_addon', + 'message': 'Copying addon...', + + # Explicitly list the inputs in the command-line invocation below: + 'inputs': [], + + # Declare the expected outputs: + 'outputs': [ + '<(addon_output_dir)/<(addon_target_name).node', + ], + + # Define the command-line invocation: + 'action': [ + 'cp', + '<(PRODUCT_DIR)/<(addon_target_name).node', + '<(addon_output_dir)/<(addon_target_name).node', + ], + }, + ], # end actions + }, # end target copy_addon + ], # end targets +} diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/repl.txt b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/repl.txt new file mode 100644 index 000000000000..135e28817cbc --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/repl.txt @@ -0,0 +1,41 @@ + +{{alias}}( x, y, p ) + Computes the hinge loss gradient between two double-precision floating-point + numbers. + + If any argument is `NaN`, the function returns `NaN`. + + If `y` is not +1 or -1, the function returns `NaN`. + + Parameters + ---------- + x: number + Input value. + + y: number + True target value. + + p: number + Predicted value. + + Returns + ------- + v: number + Hinge loss gradient. + + Examples + -------- + > var v = {{alias}}( 3.0, 1.0, 0.782 ) + -3.0 + > v = {{alias}}( 2.5, 1.0, 0.202 ) + -2.5 + > v = {{alias}}( -1.3, 1.0, -0.999 ) + 1.3 + > v = {{alias}}( -2.0, -1.0, 0.2 ) + -2.0 + > v = {{alias}}( NaN, 1.0, 0.987 ) + NaN + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/types/index.d.ts b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/types/index.d.ts new file mode 100644 index 000000000000..c64dff038985 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/types/index.d.ts @@ -0,0 +1,62 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +// TypeScript Version: 4.1 + +/** +* Computes the hinge loss gradient between two double-precision floating-point numbers. +* +* ## Notes +* +* - If `y` is not +1 or -1, the function returns `NaN`. +* +* @param x - input value +* @param y - true target value +* @param p - predicted value +* @returns hinge loss gradient +* +* @example +* var v = hingeGradient( 3.0, 1.0, 0.782 ); +* // returns -3.0 +* +* @example +* var v = hingeGradient( 2.5, 1.0, 0.202 ); +* // returns -2.5 +* +* @example +* var v = hingeGradient( -1.3, 1.0, -0.999 ); +* // returns 1.3 +* +* @example +* var v = hingeGradient( -2.0, -1.0, 0.234 ); +* // returns -2.0 +* +* @example +* var v = hingeGradient( -2.0, -1.0, 0.2 ); +* // returns -2.0 +* +* @example +* var v = hingeGradient( -1.3, 1.0, -0.9 ); +* // returns 1.3 +*/ +declare function hingeGradient( x: number, y: number, p: number ): number; + + +// EXPORTS // + +export = hingeGradient; diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/types/test.ts b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/types/test.ts new file mode 100644 index 000000000000..f5f6263b9860 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/types/test.ts @@ -0,0 +1,71 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +import hingeGradient = require( './index' ); + + +// TESTS // + +// The function returns a number... +{ + hingeGradient( 1.0, 0.5869, 0.782 ); // $ExpectType number +} + +// The compiler throws an error if the function is provided a first argument which is not a number... +{ + hingeGradient( true, 0.8975, 0.782 ); // $ExpectError + hingeGradient( false, 0.8975, 0.782 ); // $ExpectError + hingeGradient( null, 0.8975, 0.782 ); // $ExpectError + hingeGradient( undefined, 0.8975, 0.782 ); // $ExpectError + hingeGradient( '5', 0.8975, 0.782 ); // $ExpectError + hingeGradient( [], 0.8975, 0.782 ); // $ExpectError + hingeGradient( {}, 0.8975, 0.782 ); // $ExpectError + hingeGradient( ( x: number ): number => x, 0.8975, 0.782 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a second argument which is not a number... +{ + hingeGradient( 1.0, true, 0.782 ); // $ExpectError + hingeGradient( 1.0, false, 0.782 ); // $ExpectError + hingeGradient( 1.0, null, 0.782 ); // $ExpectError + hingeGradient( 1.0, undefined, 0.782 ); // $ExpectError + hingeGradient( 1.0, '5', 0.782 ); // $ExpectError + hingeGradient( 1.0, [], 0.782 ); // $ExpectError + hingeGradient( 1.0, {}, 0.782 ); // $ExpectError + hingeGradient( 1.0, ( x: number ): number => x, 0.782 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a third argument which is not a number... +{ + hingeGradient( 1.0, 0.8975, true ); // $ExpectError + hingeGradient( 1.0, 0.8975, false ); // $ExpectError + hingeGradient( 1.0, 0.8975, null ); // $ExpectError + hingeGradient( 1.0, 0.8975, undefined ); // $ExpectError + hingeGradient( 1.0, 0.8975, '5' ); // $ExpectError + hingeGradient( 1.0, 0.8975, [] ); // $ExpectError + hingeGradient( 1.0, 0.8975, {} ); // $ExpectError + hingeGradient( 1.0, 0.8975, ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the function is provided an unsupported number of arguments... +{ + hingeGradient(); // $ExpectError + hingeGradient( 1.0 ); // $ExpectError + hingeGradient( 1.0, 0.900 ); // $ExpectError + hingeGradient( 1.0, 0.900, 0.787, 0.7873 ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/examples/c/Makefile b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/examples/c/Makefile new file mode 100644 index 000000000000..c8f8e9a1517b --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/examples/c/Makefile @@ -0,0 +1,146 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2026 The Stdlib Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +#/ + +# VARIABLES # + +ifndef VERBOSE + QUIET := @ +else + QUIET := +endif + +# Determine the OS ([1][1], [2][2]). +# +# [1]: https://en.wikipedia.org/wiki/Uname#Examples +# [2]: http://stackoverflow.com/a/27776822/2225624 +OS ?= $(shell uname) +ifneq (, $(findstring MINGW,$(OS))) + OS := WINNT +else +ifneq (, $(findstring MSYS,$(OS))) + OS := WINNT +else +ifneq (, $(findstring CYGWIN,$(OS))) + OS := WINNT +else +ifneq (, $(findstring Windows_NT,$(OS))) + OS := WINNT +endif +endif +endif +endif + +# Define the program used for compiling C source files: +ifdef C_COMPILER + CC := $(C_COMPILER) +else + CC := gcc +endif + +# Define the command-line options when compiling C files: +CFLAGS ?= \ + -std=c99 \ + -O3 \ + -Wall \ + -pedantic + +# Determine whether to generate position independent code ([1][1], [2][2]). +# +# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options +# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option +ifeq ($(OS), WINNT) + fPIC ?= +else + fPIC ?= -fPIC +endif + +# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`): +INCLUDE ?= + +# List of source files: +SOURCE_FILES ?= + +# List of libraries (e.g., `-lopenblas -lpthread`): +LIBRARIES ?= + +# List of library paths (e.g., `-L /foo/bar -L /beep/boop`): +LIBPATH ?= + +# List of C targets: +c_targets := example.out + + +# RULES # + +#/ +# Compiles source files. +# +# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`) +# @param {string} [CFLAGS] - C compiler options +# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`) +# @param {string} [SOURCE_FILES] - list of source files +# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`) +# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`) +# +# @example +# make +# +# @example +# make all +#/ +all: $(c_targets) + +.PHONY: all + +#/ +# Compiles C source files. +# +# @private +# @param {string} CC - C compiler (e.g., `gcc`) +# @param {string} CFLAGS - C compiler options +# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`) +# @param {string} SOURCE_FILES - list of source files +# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`) +# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`) +#/ +$(c_targets): %.out: %.c + $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES) + +#/ +# Runs compiled examples. +# +# @example +# make run +#/ +run: $(c_targets) + $(QUIET) ./$< + +.PHONY: run + +#/ +# Removes generated files. +# +# @example +# make clean +#/ +clean: + $(QUIET) -rm -f *.o *.out + +.PHONY: clean diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/examples/c/example.c b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/examples/c/example.c new file mode 100644 index 000000000000..beddef8aaa75 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/examples/c/example.c @@ -0,0 +1,33 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +#include "stdlib/ml/base/loss/float64/hinge_gradient.h" +#include + +int main( void ) { + const double x[] = { -10.0, -9.56, -8.67, -7.78, -6.89, 6.89, 7.78, 8.67, 9.56, 10.0 }; + const double y[] = { -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0 }; + const double p[] = { -5.0, -3.89, -2.78, -1.67, -0.56, 0.56, 1.67, 2.78, 3.89, 5.0 }; + + double v; + int i; + for ( i = 0; i < 10; i++ ) { + v = stdlib_base_float64_hinge_gradient( x[ i ], y[ i ], p[ i ] ); + printf( "hingeGradient(%lf, %lf, %lf) = %lf\n", x[ i ], y[ i ], p[ i ], v ); + } +} diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/examples/index.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/examples/index.js new file mode 100644 index 000000000000..f2349974fa45 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/examples/index.js @@ -0,0 +1,36 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +var uniform = require( '@stdlib/random/array/uniform' ); +var sample = require( '@stdlib/random/sample' ); +var logEachMap = require( '@stdlib/console/log-each-map' ); +var hingeGradient = require( './../lib' ); + +var y = sample( [ -1.0, 1.0 ], { + 'size': 100 +}); +var x = uniform( 100, -100.0, 100.0, { + 'dtype': 'float64' +}); +var p = uniform( 100, -5.0, 5.0, { + 'dtype': 'float64' +}); + +logEachMap( 'hingeGradient(%0.4f, %0.4f, %0.4f) = %0.4f', x, y, p, hingeGradient ); diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/include.gypi b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/include.gypi new file mode 100644 index 000000000000..bee8d41a2caf --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/include.gypi @@ -0,0 +1,53 @@ +# @license Apache-2.0 +# +# Copyright (c) 2026 The Stdlib Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# A GYP include file for building a Node.js native add-on. +# +# Main documentation: +# +# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md +# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md +{ + # Define variables to be used throughout the configuration for all targets: + 'variables': { + # Source directory: + 'src_dir': './src', + + # Include directories: + 'include_dirs': [ + '=0.10.0", + "npm": ">2.7.0" + }, + "os": [ + "aix", + "darwin", + "freebsd", + "linux", + "macos", + "openbsd", + "sunos", + "win32", + "windows" + ], + "keywords": [ + "stdlib", + "machine learning", + "ml", + "loss", + "float64", + "hinge", + "hinge loss", + "hinge gradient", + "gradient", + "double-precision", + "double", + "dbl" + ], + "__stdlib__": {} +} diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/Makefile b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/Makefile new file mode 100644 index 000000000000..2caf905cedbe --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/Makefile @@ -0,0 +1,70 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2026 The Stdlib Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +#/ + +# VARIABLES # + +ifndef VERBOSE + QUIET := @ +else + QUIET := +endif + +# Determine the OS ([1][1], [2][2]). +# +# [1]: https://en.wikipedia.org/wiki/Uname#Examples +# [2]: http://stackoverflow.com/a/27776822/2225624 +OS ?= $(shell uname) +ifneq (, $(findstring MINGW,$(OS))) + OS := WINNT +else +ifneq (, $(findstring MSYS,$(OS))) + OS := WINNT +else +ifneq (, $(findstring CYGWIN,$(OS))) + OS := WINNT +else +ifneq (, $(findstring Windows_NT,$(OS))) + OS := WINNT +endif +endif +endif +endif + + +# RULES # + +#/ +# Removes generated files for building an add-on. +# +# @example +# make clean-addon +#/ +clean-addon: + $(QUIET) -rm -f *.o *.node + +.PHONY: clean-addon + +#/ +# Removes generated files. +# +# @example +# make clean +#/ +clean: clean-addon + +.PHONY: clean diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/addon.c b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/addon.c new file mode 100644 index 000000000000..f3bb9edc0cc1 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/addon.c @@ -0,0 +1,22 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +#include "stdlib/ml/base/loss/float64/hinge_gradient.h" +#include "stdlib/math/base/napi/ternary.h" + +STDLIB_MATH_BASE_NAPI_MODULE_DDD_D( stdlib_base_float64_hinge_gradient ) diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/main.c b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/main.c new file mode 100644 index 000000000000..2d8c3a3419ab --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/main.c @@ -0,0 +1,46 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +#include "stdlib/ml/base/loss/float64/hinge_gradient.h" +#include "stdlib/math/base/assert/is_nan.h" +#include "stdlib/constants/float64/nan.h" + +/** +* Computes the hinge loss gradient between two double-precision floating-point numbers. +* +* @param x input value +* @param y true target value +* @param p predicted value +* @return hinge loss gradient +* +* @example +* double out = stdlib_base_float64_hinge_gradient( 2.5, 1.0, 0.202 ); +* // returns -2.5 +*/ +double stdlib_base_float64_hinge_gradient( const double x, const double y, const double p ) { + if ( + stdlib_base_is_nan( x ) || stdlib_base_is_nan( y ) || stdlib_base_is_nan( p ) || + ( y != -1.0 && y != 1.0 ) + ) { + return STDLIB_CONSTANT_FLOAT64_NAN; + } + if ( y*p < 1.0 ) { + return -x*y; + } + return 0.0; +} diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/REQUIRE new file mode 100644 index 000000000000..7c8193c06e65 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/REQUIRE @@ -0,0 +1,2 @@ +julia 1.4.2 +JSON 0.21.0 diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/runner.jl new file mode 100755 index 000000000000..36beac1a9ace --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/runner.jl @@ -0,0 +1,91 @@ +#!/usr/bin/env julia +# +# @license Apache-2.0 +# +# Copyright (c) 2026 The Stdlib Authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import JSON + +""" + gen( x, y, p, name ) + +Generate fixture data and write to file. + +# Arguments + +* `x`: input domain +* `y`: response domain +* `p`: prediction domain +* `name::AbstractString`: output filename + +# Examples + +``` julia +julia> x = range( -1000.0, 1000.0, 2001 ); +julia> y = rand( [-1.0, 1.0], 2001 ) +julia> p = range( -1000.0, 1000.0, 2001 ); +julia> gen( x, y, p, "data.json" ); +``` +""" +function gen( x, y, p, name ) + v = ifelse.( y .* p .< 1.0, -x .* y, 0.0 ); + + # Store data to be written to file as a collection: + data = Dict([ + ("x", x), + ("y", y), + ("p", p), + ("expected", v) + ]); + + # Based on the script directory, create an output filepath: + filepath = joinpath( dir, name ); + + # Write the data to the output filepath as JSON: + outfile = open( filepath, "w" ); + write( outfile, JSON.json(data) ); + write( outfile, "\n" ); + close( outfile ); +end + +# Get the filename: +file = @__FILE__; + +# Extract the directory in which this file resides: +dir = dirname(file); + +# Positive tiny values: +y = rand( [ -1.0, 1.0 ], 503 ) +x = range( 0.0, stop=20e-20, length=503 ); +p = range( 0.0, stop=1e-20, length=503 ); +gen( x, y, p, "tiny_positive.json" ); + +# Small positive values: +y = rand( [ -1.0, 1.0 ], 503 ) +x = range( 0.0, stop=50, length=503 ); +p = range( 0.0, stop=2.0, length=503 ); +gen( x, y, p, "small_positive.json" ); + +# Negative tiny values: +y = rand( [ -1.0, 1.0 ], 503 ) +x = range( 0.0, stop=-20e-20, length=503 ); +p = range( -1e-20, stop=0.0, length=503 ); +gen( x, y, p, "tiny_negative.json" ); + +# Small negative values: +y = rand( [ -1.0, 1.0 ], 503 ) +x = range( 0.0, stop=-50, length=503 ); +p = range( -2.0, stop=0.0, length=503 ); +gen( x, y, p, "small_negative.json" ); diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_negative.json b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_negative.json new file mode 100644 index 000000000000..2f43c34c9917 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_negative.json @@ -0,0 +1 @@ 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diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_positive.json b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_positive.json new file mode 100644 index 000000000000..2b14bf356e3e --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_positive.json @@ -0,0 +1 @@ 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diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_negative.json b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_negative.json new file mode 100644 index 000000000000..8d3253005119 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_negative.json @@ -0,0 +1 @@ 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diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_positive.json b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_positive.json new file mode 100644 index 000000000000..84597e40e5db --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_positive.json @@ -0,0 +1 @@ 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diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js new file mode 100644 index 000000000000..ef05f3232388 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js @@ -0,0 +1,147 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var isAlmostSameValue = require( '@stdlib/number/float64/base/assert/is-almost-same-value' ); +var hingeGradient = require( './../lib' ); + + +// FIXTURES // + +var tinyPositive = require( './fixtures/julia/tiny_positive.json' ); +var smallPositive = require( './fixtures/julia/small_positive.json' ); +var tinyNegative = require( './fixtures/julia/tiny_negative.json' ); +var smallNegative = require( './fixtures/julia/small_negative.json' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof hingeGradient, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function computes the hinge loss gradient for tiny positive values', function test( t ) { + var expected; + var x; + var y; + var p; + var v; + var i; + + x = tinyPositive.x; + y = tinyPositive.y; + p = tinyPositive.p; + expected = tinyPositive.expected; + for ( i = 0; i < y.length; i++ ) { + v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function computes the hinge loss gradient for small positive values', function test( t ) { + var expected; + var x; + var y; + var p; + var v; + var i; + + x = smallPositive.x; + y = smallPositive.y; + p = smallPositive.p; + expected = smallPositive.expected; + for ( i = 0; i < y.length; i++ ) { + v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function computes the hinge loss gradient for tiny negative values', function test( t ) { + var expected; + var x; + var y; + var p; + var v; + var i; + + x = tinyNegative.x; + y = tinyNegative.y; + p = tinyNegative.p; + expected = tinyNegative.expected; + for ( i = 0; i < y.length; i++ ) { + v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function computes the hinge loss gradient for small negative values', function test( t ) { + var expected; + var x; + var y; + var p; + var v; + var i; + + x = smallNegative.x; + y = smallNegative.y; + p = smallNegative.p; + expected = smallNegative.expected; + for ( i = 0; i < y.length; i++ ) { + v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function returns `NaN` if provided `NaN`', function test( t ) { + var v; + + v = hingeGradient( NaN, 1.0, 0.782 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = hingeGradient( 1.0, NaN, 0.782 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = hingeGradient( NaN, NaN, 0.782 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = hingeGradient( NaN, NaN, NaN ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function returns `NaN` if y is not +1 or -1', function test( t ) { + var v; + + v = hingeGradient( 3.0, -0.9, 1.0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = hingeGradient( 2.4, 0.453, 0.76 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + t.end(); +}); diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js new file mode 100644 index 000000000000..42bdad6a4dc8 --- /dev/null +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js @@ -0,0 +1,156 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var resolve = require( 'path' ).resolve; +var tape = require( 'tape' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var isAlmostSameValue = require( '@stdlib/number/float64/base/assert/is-almost-same-value' ); +var tryRequire = require( '@stdlib/utils/try-require' ); + + +// FIXTURES // + +var tinyPositive = require( './fixtures/julia/tiny_positive.json' ); +var smallPositive = require( './fixtures/julia/small_positive.json' ); +var tinyNegative = require( './fixtures/julia/tiny_negative.json' ); +var smallNegative = require( './fixtures/julia/small_negative.json' ); + + +// VARIABLES // + +var hingeGradient = tryRequire( resolve( __dirname, './../lib/native.js' ) ); +var opts = { + 'skip': ( hingeGradient instanceof Error ) +}; + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof hingeGradient, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function computes the hinge loss gradient for tiny positive values', opts, function test( t ) { + var expected; + var x; + var y; + var p; + var v; + var i; + + x = tinyPositive.x; + y = tinyPositive.y; + p = tinyPositive.p; + expected = tinyPositive.expected; + for ( i = 0; i < y.length; i++ ) { + v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function computes the hinge loss gradient for small positive values', opts, function test( t ) { + var expected; + var x; + var y; + var p; + var v; + var i; + + x = smallPositive.x; + y = smallPositive.y; + p = smallPositive.p; + expected = smallPositive.expected; + for ( i = 0; i < y.length; i++ ) { + v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function computes the hinge loss gradient for tiny negative values', opts, function test( t ) { + var expected; + var x; + var y; + var p; + var v; + var i; + + x = tinyNegative.x; + y = tinyNegative.y; + p = tinyNegative.p; + expected = tinyNegative.expected; + for ( i = 0; i < y.length; i++ ) { + v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function computes the hinge loss gradient for small negative values', opts, function test( t ) { + var expected; + var x; + var y; + var p; + var v; + var i; + + x = smallNegative.x; + y = smallNegative.y; + p = smallNegative.p; + expected = smallNegative.expected; + for ( i = 0; i < y.length; i++ ) { + v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function returns `NaN` if provided `NaN`', opts, function test( t ) { + var v; + + v = hingeGradient( NaN, 1.0, 0.782 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = hingeGradient( 1.0, NaN, 0.782 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = hingeGradient( NaN, NaN, 0.782 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = hingeGradient( NaN, NaN, NaN ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function returns `NaN` if y is not +1 or -1', opts, function test( t ) { + var v; + + v = hingeGradient( 3.0, -0.9, 1.0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = hingeGradient( 2.4, 0.453, 0.76 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + t.end(); +}); From d88b6cd28e1acf9679d15f6d1cb9a678bc654c02 Mon Sep 17 00:00:00 2001 From: nakul-krishnakumar Date: Wed, 20 May 2026 13:30:15 +0530 Subject: [PATCH 2/4] fix: update function desc and fix failing test cases --- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: na - task: lint_package_json status: passed - task: lint_repl_help status: na - task: lint_javascript_src status: passed - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: passed - task: lint_javascript_benchmarks status: na - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: passed - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: passed - task: lint_typescript_tests status: passed - task: lint_license_headers status: passed --- --- .../loss/float64/hinge-gradient/docs/types/index.d.ts | 2 +- .../include/stdlib/ml/base/loss/float64/hinge_gradient.h | 2 +- .../ml/base/loss/float64/hinge-gradient/lib/index.js | 2 +- .../ml/base/loss/float64/hinge-gradient/lib/main.js | 2 +- .../ml/base/loss/float64/hinge-gradient/lib/native.js | 2 +- .../ml/base/loss/float64/hinge-gradient/package.json | 2 +- .../ml/base/loss/float64/hinge-gradient/src/main.c | 2 +- .../test/fixtures/julia/small_negative.json | 2 +- .../test/fixtures/julia/small_positive.json | 2 +- .../hinge-gradient/test/fixtures/julia/tiny_negative.json | 2 +- .../hinge-gradient/test/fixtures/julia/tiny_positive.json | 2 +- .../ml/base/loss/float64/hinge-gradient/test/test.js | 8 ++++---- .../base/loss/float64/hinge-gradient/test/test.native.js | 8 ++++---- 13 files changed, 19 insertions(+), 19 deletions(-) diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/types/index.d.ts b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/types/index.d.ts index c64dff038985..b7fa719c947d 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/types/index.d.ts +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/types/index.d.ts @@ -19,7 +19,7 @@ // TypeScript Version: 4.1 /** -* Computes the hinge loss gradient between two double-precision floating-point numbers. +* Computes the hinge loss gradient with respect to a model parameter. * * ## Notes * diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/include/stdlib/ml/base/loss/float64/hinge_gradient.h b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/include/stdlib/ml/base/loss/float64/hinge_gradient.h index 102f7443dcc8..f36cf6df0c99 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/include/stdlib/ml/base/loss/float64/hinge_gradient.h +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/include/stdlib/ml/base/loss/float64/hinge_gradient.h @@ -27,7 +27,7 @@ extern "C" { #endif /** -* Computes the hinge loss gradient between two double-precision floating-point numbers. +* Computes the hinge loss gradient with respect to a model parameter. */ double stdlib_base_float64_hinge_gradient( const double x, const double y, const double p ); diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/index.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/index.js index 384806d61987..4f0607f9a170 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/index.js +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/index.js @@ -19,7 +19,7 @@ 'use strict'; /** -* Compute the hinge loss gradient between two double-precision floating-point numbers. +* Compute the hinge loss gradient with respect to a model parameter. * * @module @stdlib/ml/base/loss/float64/hinge-gradient * diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/main.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/main.js index 538b6e6ecca2..df7e3af92631 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/main.js +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/main.js @@ -26,7 +26,7 @@ var isnan = require( '@stdlib/math/base/assert/is-nan' ); // MAIN // /** -* Computes the hinge loss gradient between two double-precision floating-point numbers. +* Computes the hinge loss gradient with respect to a model parameter. * * @param {number} x - input value * @param {number} y - true target value diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/native.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/native.js index 3a6c798ad514..eb40dc3a49f9 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/native.js +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/lib/native.js @@ -26,7 +26,7 @@ var addon = require( './../src/addon.node' ); // MAIN // /** -* Computes the hinge loss gradient between two double-precision floating-point numbers. +* Computes the hinge loss gradient with respect to a model parameter. * * @private * @param {number} x - input value diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/package.json b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/package.json index c811958a6e34..2d9700b0439f 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/package.json +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/package.json @@ -1,7 +1,7 @@ { "name": "@stdlib/ml/base/loss/float64/hinge-gradient", "version": "0.0.0", - "description": "Compute the hinge loss gradient between two double-precision floating-point numbers.", + "description": "Compute the hinge loss gradient with respect to a model parameter.", "license": "Apache-2.0", "author": { "name": "The Stdlib Authors", diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/main.c b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/main.c index 2d8c3a3419ab..5d6d54c04279 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/main.c +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/src/main.c @@ -21,7 +21,7 @@ #include "stdlib/constants/float64/nan.h" /** -* Computes the hinge loss gradient between two double-precision floating-point numbers. +* Computes the hinge loss gradient with respect to a model parameter. * * @param x input value * @param y true target value diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_negative.json b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_negative.json index 2f43c34c9917..1968a8e69178 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_negative.json +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_negative.json @@ -1 +1 @@ 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diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_positive.json b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_positive.json index 2b14bf356e3e..565bab03367d 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_positive.json +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/small_positive.json @@ -1 +1 @@ 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diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_negative.json b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_negative.json index 8d3253005119..7e4e9e0c860f 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_negative.json +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_negative.json @@ -1 +1 @@ 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diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_positive.json b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_positive.json index 84597e40e5db..e88533708f19 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_positive.json +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/fixtures/julia/tiny_positive.json @@ -1 +1 @@ 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diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js index ef05f3232388..0e4e29f8f041 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js @@ -56,7 +56,7 @@ tape( 'the function computes the hinge loss gradient for tiny positive values', expected = tinyPositive.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); - t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); }); @@ -75,7 +75,7 @@ tape( 'the function computes the hinge loss gradient for small positive values', expected = smallPositive.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); - t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); }); @@ -94,7 +94,7 @@ tape( 'the function computes the hinge loss gradient for tiny negative values', expected = tinyNegative.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); - t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); }); @@ -113,7 +113,7 @@ tape( 'the function computes the hinge loss gradient for small negative values', expected = smallNegative.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); - t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); }); diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js index 42bdad6a4dc8..71d80b88b079 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js @@ -65,7 +65,7 @@ tape( 'the function computes the hinge loss gradient for tiny positive values', expected = tinyPositive.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); - t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); }); @@ -84,7 +84,7 @@ tape( 'the function computes the hinge loss gradient for small positive values', expected = smallPositive.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); - t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); }); @@ -103,7 +103,7 @@ tape( 'the function computes the hinge loss gradient for tiny negative values', expected = tinyNegative.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); - t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); }); @@ -122,7 +122,7 @@ tape( 'the function computes the hinge loss gradient for small negative values', expected = smallNegative.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); - t.strictEqual( isAlmostSameValue( v, expected[ i ], 0 ), true, 'returns expected value' ); + t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); }); From 798bd967ef436e32bfaf9bfde9a0e478eb37ce4b Mon Sep 17 00:00:00 2001 From: nakul-krishnakumar Date: Wed, 20 May 2026 14:23:17 +0530 Subject: [PATCH 3/4] docs: update function desc --- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: na - task: lint_package_json status: na - task: lint_repl_help status: passed - task: lint_javascript_src status: na - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: na - task: lint_javascript_benchmarks status: na - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: passed - task: lint_typescript_tests status: na - task: lint_license_headers status: passed --- --- .../@stdlib/ml/base/loss/float64/hinge-gradient/docs/repl.txt | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/repl.txt b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/repl.txt index 135e28817cbc..13ff6394f973 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/repl.txt +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/docs/repl.txt @@ -1,7 +1,6 @@ {{alias}}( x, y, p ) - Computes the hinge loss gradient between two double-precision floating-point - numbers. + Computes the hinge loss gradient with respect to a model parameter. If any argument is `NaN`, the function returns `NaN`. From 7eccb374c5cd346de3a4f8b909bcee161331d28d Mon Sep 17 00:00:00 2001 From: nakul-krishnakumar Date: Wed, 20 May 2026 16:29:00 +0530 Subject: [PATCH 4/4] docs: add test notes --- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: na - task: lint_package_json status: na - task: lint_repl_help status: na - task: lint_javascript_src status: na - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: passed - task: lint_javascript_benchmarks status: na - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: passed - task: lint_typescript_tests status: na - task: lint_license_headers status: passed --- --- .../ml/base/loss/float64/hinge-gradient/test/test.js | 8 ++++++++ .../base/loss/float64/hinge-gradient/test/test.native.js | 8 ++++++++ 2 files changed, 16 insertions(+) diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js index 0e4e29f8f041..6d84c1e1f841 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.js @@ -56,6 +56,8 @@ tape( 'the function computes the hinge loss gradient for tiny positive values', expected = tinyPositive.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + + // Add 0.0 to normalize signed zero differences in failing test cases. t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); @@ -75,6 +77,8 @@ tape( 'the function computes the hinge loss gradient for small positive values', expected = smallPositive.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + + // Add 0.0 to normalize signed zero differences in failing test cases. t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); @@ -94,6 +98,8 @@ tape( 'the function computes the hinge loss gradient for tiny negative values', expected = tinyNegative.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + + // Add 0.0 to normalize signed zero differences in failing test cases. t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); @@ -113,6 +119,8 @@ tape( 'the function computes the hinge loss gradient for small negative values', expected = smallNegative.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + + // Add 0.0 to normalize signed zero differences in failing test cases. t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); diff --git a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js index 71d80b88b079..8e02c6feaca7 100644 --- a/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js +++ b/lib/node_modules/@stdlib/ml/base/loss/float64/hinge-gradient/test/test.native.js @@ -65,6 +65,8 @@ tape( 'the function computes the hinge loss gradient for tiny positive values', expected = tinyPositive.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + + // Add 0.0 to normalize signed zero differences in failing test cases. t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); @@ -84,6 +86,8 @@ tape( 'the function computes the hinge loss gradient for small positive values', expected = smallPositive.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + + // Add 0.0 to normalize signed zero differences in failing test cases. t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); @@ -103,6 +107,8 @@ tape( 'the function computes the hinge loss gradient for tiny negative values', expected = tinyNegative.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + + // Add 0.0 to normalize signed zero differences in failing test cases. t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end(); @@ -122,6 +128,8 @@ tape( 'the function computes the hinge loss gradient for small negative values', expected = smallNegative.expected; for ( i = 0; i < y.length; i++ ) { v = hingeGradient( x[ i ], y[ i ], p[ i ] ); + + // Add 0.0 to normalize signed zero differences in failing test cases. t.strictEqual( isAlmostSameValue( v + 0.0, expected[ i ], 0 ), true, 'returns expected value' ); } t.end();