Frank McQuillan created MADLIB-1134:
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Summary: CLONE - Neural Networks - MLP - Phase 1
Key: MADLIB-1134
URL: https://issues.apache.org/jira/browse/MADLIB-1134
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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