[ 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} -- This message was sent by Atlassian JIRA (v6.4.14#64029)