regression issue

[prashanthGit945]

Creating New Features with Features Selection

[GML] The 1 step feature engineering process could generate up to 49 features.
[GML] With 5429 data points this new feature matrix would use about 0.00 gb of space.
[FEATURE_ENGINEERING] Step 1: transformation of original features
[FEATURE_ENGINEERING] Generated 14 transformed features from 7 original features - done.
[FEATURE_ENGINEERING] Generated altogether 17 new features in 1 steps
[FEATURE_ENGINEERING] Removing correlated features, as well as additions at the highest level

AttributeError Traceback (most recent call last)
in
3 numeric_cols =['session_id','session_number','client_agent','device_details']
4
----> 5 fe = FeatureEngineering(train,'time_spent',fill_missing_data=True, method_cat='Mode',cat_cols = cat_cols,numeric_cols = numeric_cols,
6 method_num='Mean',encode_data=True,normalize=True, remove_outliers=False,new_features=True,feateng_steps=1,task ='regression')
7

~\Anaconda3\lib\site-packages\GML\FEATURE_ENGINEERING.py in init(self, data, label, fill_missing_data, method_cat, method_num, drop, cat_cols, numeric_cols, thresh_cat, thresh_numeric, encode_data, method, thresh, normalize, method_transform, thresh_numeric_transform, remove_outliers, qu_fence, new_features, task, test_data, verbose, feateng_steps)
166 except:
167 pass
--> 168 X = afc.fit_transform(X, y)
169 if not test_data == None:
170 test_data = afc.transform(test_data)

~\Anaconda3\lib\site-packages\GML\AUTO_FEATURE_ENGINEERING\autofeat.py in fit_transform(self, X, y)
294 target_sub = target.copy()
295 # generate features
--> 296 df_subs, self.feature_formulas_ = engineer_features(df_subs, self.feateng_cols_, _parse_units(self.units, verbose=self.verbose),
297 self.feateng_steps, self.transformations, self.verbose)
298 # select predictive features

~\Anaconda3\lib\site-packages\GML\AUTO_FEATURE_ENGINEERING\feateng.py in engineer_features(df_org, start_features, units, max_steps, transformations, verbose)
339 print("[FEATURE_ENGINEERING] Generated altogether %i new features in %i steps" % (len(feature_pool) - len(start_features), max_steps))
340 print("[FEATURE_ENGINEERING] Removing correlated features, as well as additions at the highest level")
--> 341 feature_pool = {c: feature_pool[c] for c in feature_pool if c in uncorr_features and not feature_pool[c].func == sympy.add.Add}
342 cols = [c for c in list(df.columns) if c in feature_pool and c not in df_org.columns] # categorical cols not in feature_pool
343 if cols:

~\Anaconda3\lib\site-packages\GML\AUTO_FEATURE_ENGINEERING\feateng.py in (.0)
339 print("[FEATURE_ENGINEERING] Generated altogether %i new features in %i steps" % (len(feature_pool) - len(start_features), max_steps))
340 print("[FEATURE_ENGINEERING] Removing correlated features, as well as additions at the highest level")
--> 341 feature_pool = {c: feature_pool[c] for c in feature_pool if c in uncorr_features and not feature_pool[c].func == sympy.add.Add}
342 cols = [c for c in list(df.columns) if c in feature_pool and c not in df_org.columns] # categorical cols not in feature_pool
343 if cols:

AttributeError: module 'sympy' has no attribute 'add'

[prashanthGit945]

if you understand issue please respond

[Muhammad4hmed]

Hi, sorry due to academic finals, could not respond fast. can you please share the snap of X and y?

[prashanthGit945]

[prashanthGit945]

problem with new features creating

[Muhammad4hmed]

the problem is, session_id, client_agent and device_details are not numeric, pass them as cat_cols. further you can know what are categorical or numeric columns by X.dtypes

[prashanthGit945]

still its getting same error

[prashanthGit945]

why don't you an add demo about regression in github once check whether regression working or not..

[prashanthGit945]

[prashanthGit945]

Unique values in session_id 5429
Unique values in session_number 610
Unique values in client_agent 698
Unique values in device_details 17
Unique values in date 342
Unique values in purchased 2
Unique values in added_in_cart 2
Unique values in checked_out 2
Unique values in time_spent 5235

[Muhammad4hmed]

Either drop date column or pass it in cat_cols

[prashanthGit945]

yes I already dropped date column starting itself...