[jira] [Created] (MADLIB-1325) MLP does not stop even after tolerance reached

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

Frank McQuillan created MADLIB-1325:
---------------------------------------

             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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