refactor: use base array assertion utility

kgryte · kgryte · commit ad586ea94ab5 · 2025-03-30T15:30:30.000-07:00
---
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---
diff --git a/lib/node_modules/@stdlib/ml/incr/binary-classification/lib/validate.js b/lib/node_modules/@stdlib/ml/incr/binary-classification/lib/validate.js
@@ -27,12 +27,18 @@ var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
 var isArrayLikeObject = require( '@stdlib/assert/is-array-like-object' );
 var isObject = require( '@stdlib/assert/is-plain-object' );
 var hasOwnProp = require( '@stdlib/assert/has-own-property' );
-var contains = require( '@stdlib/assert/contains' );
+var contains = require( '@stdlib/array/base/assert/contains' ).factory;
 var format = require( '@stdlib/string/format' );
 var LEARNING_RATES = require( './learning_rates.json' );
 var LOSS_FUNCTIONS = require( './loss_functions.json' );
 
 
+// VARIABLES //
+
+var isLearningRate = contains( LEARNING_RATES );
+var isLossFunction = contains( LOSS_FUNCTIONS );
+
+
 // MAIN //
 
 /**
@@ -78,7 +84,7 @@ function validate( opts, options ) {
 		}
 		name = options.learningRate[ 0 ];
 		opts.learningRate[ 0 ] = name;
-		if ( !contains( LEARNING_RATES, name ) ) {
+		if ( !isLearningRate( name ) ) {
 			return new TypeError( format( 'invalid option. First `%s` option must be one of the following: "%s". Option: `%s`.', 'learningRate', LEARNING_RATES.join( '", "' ), name ) );
 		}
 		if ( options.learningRate.length > 1 ) {
@@ -100,7 +106,7 @@ function validate( opts, options ) {
 	}
 	if ( hasOwnProp( options, 'loss' ) ) {
 		opts.loss = options.loss;
-		if ( !contains( LOSS_FUNCTIONS, opts.loss ) ) {
+		if ( !isLossFunction( opts.loss ) ) {
 			return new TypeError( format( 'invalid option. `%s` option must be one of the following: "%s". Option: `%s`.', 'loss', LOSS_FUNCTIONS.join( '", "' ), opts.loss ) );
 		}
 	}
