You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@madlib.apache.org by "Frank McQuillan (JIRA)" <ji...@apache.org> on 2018/05/22 23:57:00 UTC

[jira] [Updated] (MADLIB-1238) MLP fails for dt_golf dataset

     [ https://issues.apache.org/jira/browse/MADLIB-1238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Frank McQuillan updated MADLIB-1238:
------------------------------------
    Summary: MLP fails for dt_golf dataset  (was: MLP rails for dt_golf dataset)

> MLP fails for dt_golf dataset
> -----------------------------
>
>                 Key: MADLIB-1238
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1238
>             Project: Apache MADlib
>          Issue Type: Bug
>          Components: Module: Neural Networks
>            Reporter: Frank McQuillan
>            Priority: Major
>             Fix For: v1.15
>
>
> For the dt_golf data set from 
> http://madlib.apache.org/docs/latest/group__grp__decision__tree.html#examples
> MLP fails
>  {code}
> SELECT madlib.mlp_classification( 'dt_golf', 'mlp_model_2', '"Temp_Humidity"', 'class', ARRAY[5], 'learning_rate_init=0.1, n_iterations=10, tolerance=0', 'relu', NULL, FALSE, TRUE );
> ERROR: spiexceptions.SyntaxError: syntax error at or near "t"
> LINE 9: ...p_dep_var_norm72383676_1526602175_13763735__='Don't Play',__...
>  ^
> QUERY:
>  SELECT
>  array_to_string(ARRAY[Null], ',') AS __madlib_temp_col_grp_key66624757_1526602175_949550__,
>  NULL,
>  1 AS __madlib_temp_col_grp_iteration58741248_1526602175_20584655__,
>  (
>  madlib.mlp_igd_step(
>  (__madlib_temp_ind_var_norm46776457_1526602175_44392250__)::DOUBLE PRECISION[],
>  (ARRAY[__madlib_temp_dep_var_norm72383676_1526602175_13763735__='Don't Play',__madlib_temp_dep_var_norm72383676_1526602175_13763735__='Play']::integer[])::DOUBLE PRECISION[],
>  __madlib_temp_rel_state87474628_1526602175_41807780__.__madlib_temp_col_grp_state62184949_1526602175_41368190__,
>  ARRAY[ 2,5,2 ]::DOUBLE PRECISION[],
>  (0.1)::FLOAT8,
>  0,
>  1,
>  (1)::DOUBLE PRECISION,
>  (NULL::DOUBLE PRECISION[])::DOUBLE PRECISION[],
>  0,
>  0.9::FLOAT8,
>  True::boolean
>  )
>  ) AS __madlib_temp_col_grp_state62184949_1526602175_41368190__
>  FROM (
>  SELECT *,
>  array_to_string(ARRAY[Null], ',') AS __madlib_temp_col_grp_key66624757_1526602175_949550__
>  FROM __madlib_temp_tbl_data_scaled90737274_1526602175_8324315__
>  ) AS _src
>  JOIN ( SELECT grp_key AS __madlib_temp_col_grp_key66624757_1526602175_949550__,state AS __madlib_temp_col_grp_state62184949_1526602175_41368190__ FROM madlib._gen_state($1, NULL, $2) ) AS __madlib_temp_rel_state87474628_1526602175_41807780__
>  ON TRUE
>  JOIN ( SELECT unnest($3) AS __madlib_temp_col_grp_key66624757_1526602175_949550__, unnest($4) AS __madlib_temp_col_n_tuples86886826_1526602175_68539375__ ) AS _rel_n_tuples
>  ON TRUE
> CONTEXT: Traceback (most recent call last):
>  PL/Python function "mlp_classification", line 36, in <module>
>  grouping_col
>  PL/Python function "mlp_classification", line 45, in wrapper
>  PL/Python function "mlp_classification", line 334, in mlp
>  PL/Python function "mlp_classification", line 576, in update
> PL/Python function "mlp_classification"
> {code}



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)