[ https://issues.apache.org/jira/browse/MADLIB-1255?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Frank McQuillan updated MADLIB-1255: ------------------------------------ Fix Version/s: v2.0 > MLP: NaN loss for some hyperparam settings > ------------------------------------------ > > Key: MADLIB-1255 > URL: https://issues.apache.org/jira/browse/MADLIB-1255 > Project: Apache MADlib > Issue Type: Bug > Components: Module: Neural Networks > Reporter: Orhan Kislal > Priority: Minor > Fix For: v2.0 > > > w/ [~njayaram] For the boston dataset (duplicated for multiple groups > testing) the following query produces NaN for the loss. If NaN is an > acceptable result, we should have a more user-friendly way of erroring out > during prediction. > {code:java} > SELECT setseed(0); > DROP TABLE IF EXISTS temp3; > DROP TABLE IF EXISTS temp3_summary; > DROP TABLE IF EXISTS temp3_standardization; > SELECT madlib.mlp_regression( > 'madlibtestdata.boston_grouping'::varchar, > 'temp3'::varchar, > 'ARRAY[crim, zn, indus, chas, nox, rm, age, dis, rad, tax, ptratio, > b, lstat]'::varchar, > 'medv'::varchar, > ARRAY[100]::integer[], > 'learning_rate_init=0.0025, lambda=0.00001, > learning_rate_policy=step, gamma=0.8, iterations_per_step=250, > n_iterations=1500, tolerance=0, momentum=0'::varchar, > 'tanh'::varchar, > NULL, > False, > False, > 'grp_col' > ); > SELECT loss FROM temp3 WHERE grp_col=2; > {code} > Dataset: [https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html] -- This message was sent by Atlassian JIRA (v7.6.3#76005)