Github user edespino commented on the issue:
https://github.com/apache/incubator-madlib/pull/149
Not sure what this is. While playing around with the module, I accidentally
hit a `nan` condition. Here is the output of the session:
```
madlibtest=# CREATE TABLE iris_data(
madlibtest(# id integer,
madlibtest(# attributes numeric[],
madlibtest(# class_text varchar,
madlibtest(# class integer
madlibtest(# );
CREATE TABLE
madlibtest=# INSERT INTO iris_data VALUES
madlibtest-# (1,ARRAY[5.1,3.5,1.4,0.2],'Iris-setosa',1);
INSERT 0 1
madlibtest=# SELECT madlib.mlp_classification(
madlibtest(# 'iris_data', -- Source table
madlibtest(# 'mlp_model', -- Destination table
madlibtest(# 'attributes', -- Input features
madlibtest(# 'class_text', -- Label
madlibtest(# ARRAY[5], -- Number of units per layer
madlibtest(# 'step_size=0.003,
madlibtest'# n_iterations=5000,
madlibtest'# tolerance=0', -- Optimizer params
madlibtest(# 'tanh'); -- Activation function
WARNING: loss: nan
ERROR: spiexceptions.UndefinedColumn: column "nan" does not exist
LINE 4: ...7731e-05,-0.000170379656714,0.000110138191401,1.0,nan,1.0,1....
^
QUERY:
SELECT madlib.internal_mlp_igd_distance(
(NULL)::DOUBLE PRECISION[],
ARRAY[
2.0,4.0,5.0,1.0,0.003,1.0,2.0,1.0,1.0,1.0,1.0,1.0,-0.000161677781273,2.34991541167e-05,-5.27816928274e-05,1.6207561377e-06,9.30167921009e-05,-2.2322484638e-06,-8.8803764219e-05,6.92299455941e-05,0.000174430298478,1.36067005437e-07,-0.000126402572755,0.00010846859258,-0.000131999662994,-0.000111939884066,0.000154233933791,9.62727960033e-05,7.92279598497e-05,3.55520197415e-05,4.28280053118e-05,-0.000136356574146,-3.07769363501e-05,-8.97131375537e-05,-0.000117176292437,-9.89281636713e-05,0.000234615355418,1.0,1.0,1.0,1.0,1.0,1.0,2.00514836476e-05,-9.37533114569e-05,7.58698692162e-05,-2.64470277731e-05,-0.000170379656714,0.000110138191401,1.0,nan,1.0,1.0,1.0,1.0,1.0,-0.000161677781273,2.34991541167e-05,-5.27816928274e-05,1.6207561377e-06,9.30167921009e-05,-2.2322484638e-06,-8.8803764219e-05,6.92299455941e-05,0.000174430298478,1.36067005437e-07,-0.000126402572755,0.00010846859258,-0.000131999662994,-0.000111939884066,0.000154233933791,9.62727960033e-05,7
.92279598497e-05,3.55520197415e-05,4.28280053118e-05,-0.000136356574146,-3.07769363501e-05,-8.97131375537e-05,-0.000117176292437,-9.89281636713e-05,0.000234615355418,1.0,1.0,1.0,1.0,1.0,1.0,2.00514836476e-05,-9.37533114569e-05,7.58698692162e-05,-2.64470277731e-05,-0.000170379656714,0.000110138191401,0.0,0.0
]::double precision[]) as state_dist
CONTEXT: Traceback (most recent call last):
PL/Python function "mlp_classification", line 32, in <module>
True
PL/Python function "mlp_classification", line 140, in mlp
PL/Python function "mlp_classification"
madlibtest=#
```
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