Frank McQuillan created MADLIB-1325:
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Summary: MLP does not stop even after tolerance reached
Key: MADLIB-1325
URL: https://issues.apache.org/jira/browse/MADLIB-1325
Project: Apache MADlib
Issue Type: Bug
Components: Module: Neural Networks
Reporter: Frank McQuillan
Fix For: v1.16
{code}
madlib=# select madlib.mlp_classification(
madlib(# 'madlib_test_jl_train_dataset_for_pivotal', -- input table
madlib(# 'madlib_test_jl_mlp_training_model_20190312', -- output table
madlib(# 'ARRAY[g,h,i]', -- independent var
madlib(# 'response', -- dependent var
madlib(# ARRAY[10, 10, 10, 10], -- Number of neurons per layer, and specify
number of hidden layers
madlib(# 'learning_rate_init = 0.01, lambda = 0, n_iterations = 10, tolerance =
0.0001', -- optimizer
madlib(# 'relu', -- Activation function ('sigmoid' as default, 'tanh' and
'relu' available)
madlib(# NULL, -- default weight (1)
madlib(# FALSE, -- no warm start
madlib(# TRUE -- not verbose
madlib(# );
{code}
{code}
INFO: Iteration: 1, Loss: <1.42993215991>
INFO: Iteration: 2, Loss: <1.21119290067>
INFO: Iteration: 3, Loss: <1.21119290067>
INFO: Iteration: 4, Loss: <1.21119290067>
INFO: Iteration: 5, Loss: <1.21119290067>
INFO: Iteration: 6, Loss: <1.21119290067>
INFO: Iteration: 7, Loss: <1.21119290067>
INFO: Iteration: 8, Loss: <1.21119290067>
INFO: Iteration: 9, Loss: <1.21119290067>
mlp_classification
--------------------
(1 row)
Time: 26113.558 ms
{code}
This should have stopped after the tolerance was reached.
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