[jira] [Resolved] (MADLIB-413) Neural Networks - MLP - Phase 1

["Frank McQuillan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MADLIB-413?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Frank McQuillan resolved MADLIB-413.
------------------------------------
    Resolution: Fixed

> Neural Networks - MLP - Phase 1
> -------------------------------
>
>                 Key: MADLIB-413
>                 URL: https://issues.apache.org/jira/browse/MADLIB-413
>             Project: Apache MADlib
>          Issue Type: New Feature
>          Components: Module: Neural Networks
>            Reporter: Caleb Welton
>            Assignee: Cooper Sloan
>             Fix For: v1.12
>
>
> Multilayer perceptron with backpropagation
> Modules:
> * mlp_classification
> * mlp_regression
> Interface
> {code}
> source_table VARCHAR
> output_table VARCHAR
> independent_varname VARCHAR -- Column name for input features, should be a Real Valued array
> dependent_varname VARCHAR, -- Column name for target values, should be Real Valued array of size 1 or greater
> hidden_layer_sizes INTEGER[], -- Number of units per hidden layer (can be empty or null, in which case, no hidden layers)
> optimizer_params VARCHAR, -- Specified below
> weights VARCHAR, -- Column name for weights. Weights the loss for each input vector. Column should contain positive real value
> activation_function VARCHAR, -- One of 'sigmoid' (default), 'tanh', 'relu', or any prefix (eg. 't', 's')
> grouping_cols
> )
> {code}
> where
> {code}
> optimizer_params: -- eg "step_size=0.5, n_tries=5"
> {
> step_size DOUBLE PRECISION, -- Learning rate
> n_iterations INTEGER, -- Number of iterations per try
> n_tries INTEGER, -- Total number of training cycles, with random initializations to avoid local minima.
> tolerance DOUBLE PRECISION, -- Maximum distance between weights before training stops (or until it reaches n_iterations)
> }
> {code}



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