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  • Bug fixes for general core bugs in 3.11.x will end 14 Nov 2022 (12 months plus 6 months extension).
  • Bug fixes for security issues in 3.11.x will end 13 Nov 2023 (18 months plus 12 months extension).
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Differences Between: [Versions 311 and 400] [Versions 311 and 401] [Versions 311 and 402] [Versions 311 and 403]

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Defines 1 class

Adaline:: (2 methods):
  __construct()
  runTraining()


Class: Adaline  - X-Ref

__construct(float $learningRate = 0.001,int $maxIterations = 1000,bool $normalizeInputs = true,int $trainingType = self::BATCH_TRAINING)   X-Ref
Initalize an Adaline (ADAptive LInear NEuron) classifier with given learning rate and maximum
number of iterations used while training the classifier <br>

Learning rate should be a float value between 0.0(exclusive) and 1.0 (inclusive) <br>
Maximum number of iterations can be an integer value greater than 0 <br>
If normalizeInputs is set to true, then every input given to the algorithm will be standardized
by use of standard deviation and mean calculation


runTraining(array $samples, array $targets)   X-Ref
Adapts the weights with respect to given samples and targets
by use of gradient descent learning rule