Sandy4321
Sandy4321
File "e:\Auto ML\code\py_ml_utils_master_changed_2\py_ml_utils_master_changed\pml\tests.py", line 5, in from introspect_sklearn import * File "e:\Auto ML\code\py_ml_utils_master_changed_2\py_ml_utils_master_changed\pml\introspect_sklearn.py", line 8, in from sklearn import cluster, covariance, \ builtins.ImportError: cannot import name 'lda' what is it...
File "e:\Auto ML\code\py_ml_utils-master\py_ml_utils-master\pml\auto\tests.py", line 4, in from introspect_sklearn import * File "e:\Auto ML\code\py_ml_utils-master\py_ml_utils-master\pml\auto\introspect_sklearn.py", line 5, in from ..misc import * builtins.ImportError: attempted relative import with no known parent package
this line gives an error except Exception, e: File "e:\Auto ML\code\py_ml_utils-master\py_ml_utils-master\pml\auto\tests.py", line 4, in from introspect_sklearn import * File "e:\Auto ML\code\py_ml_utils-master\py_ml_utils-master\pml\auto\introspect_sklearn.py", line 98, in ? except Exception, e: Syntax Error:...
will it work for windows? do you have blog in English
can not be data base server be started on windows 10 may be to do this https://stackoverflow.com/questions/36553115/the-database-server-on-easyphp-wont-start My Solution was moving the EasyPHP-Devserver-17 folder from "Program files x86" to "Program...
it may be interesting for you to know that there is discussion https://github.com/scikit-learn/scikit-learn/issues/2662 about your approach as I can see some say it is not machine learning I try defend...
do you return in some place actual support for each rule since I see that for some rules support is less than min_support for example https://github.com/jirifilip/pyARC return support for each...
what can be done for unbalanced data? for example : number of target yes is 200 but number of target no is 500000 Oversampling , meaning replicating records with target...
How to get information what rule is triggered during classification Let's say there are 5 else in prediction model So which one is responsible for predicting for given one data...
is there way to calculate probability of correct decision usually it classier has attribute predict_proba like https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html predict_proba(self, X) | Probability estimates. -- | --