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Hi Jim!
Great project!
I am just having trouble with the prep data moudule.
Running it on linux mint.
andrewcz@andrewcz-PORTEGE-Z30t-B ~/Desktop/Numerai/numerai dataset/numerai_datasets (13)/numerai $ python prep_data.py
/home/andrewcz/miniconda3/lib/python3.5/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
"This module will be removed in 0.20.", DeprecationWarning)
Fold #1
Traceback (most recent call last):
File "prep_data.py", line 85, in
main()
File "prep_data.py", line 50, in main
rf.fit(X_split_train, y_split_train)
File "/home/andrewcz/miniconda3/lib/python3.5/site-packages/sklearn/ensemble/forest.py", line 247, in fit
X = check_array(X, accept_sparse="csc", dtype=DTYPE)
File "/home/andrewcz/miniconda3/lib/python3.5/site-packages/sklearn/utils/validation.py", line 382, in check_array
array = np.array(array, dtype=dtype, order=order, copy=copy)
ValueError: could not convert string to float: 'test'
Many thanks for your help,
Andrew
The text was updated successfully, but these errors were encountered:
Hi Jim!
Great project!
I am just having trouble with the prep data moudule.
Running it on linux mint.
andrewcz@andrewcz-PORTEGE-Z30t-B ~/Desktop/Numerai/numerai dataset/numerai_datasets (13)/numerai $ python prep_data.py
/home/andrewcz/miniconda3/lib/python3.5/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
"This module will be removed in 0.20.", DeprecationWarning)
Fold #1
Traceback (most recent call last):
File "prep_data.py", line 85, in
main()
File "prep_data.py", line 50, in main
rf.fit(X_split_train, y_split_train)
File "/home/andrewcz/miniconda3/lib/python3.5/site-packages/sklearn/ensemble/forest.py", line 247, in fit
X = check_array(X, accept_sparse="csc", dtype=DTYPE)
File "/home/andrewcz/miniconda3/lib/python3.5/site-packages/sklearn/utils/validation.py", line 382, in check_array
array = np.array(array, dtype=dtype, order=order, copy=copy)
ValueError: could not convert string to float: 'test'
Many thanks for your help,
Andrew
The text was updated successfully, but these errors were encountered: