Sandy4321
Sandy4321
fails to install on windows error is base) D:\>cd D:\Python installations\stability-selection-master\stability-selection-master (base) D:\Python installations\stability-selection-master\stability-selection-master>python setup.py install running install running bdist_egg running egg_info writing stability_selection.egg-info\PKG-INFO writing dependency_links to stability_selection.egg-info\dependency_links.txt writing requirements...
will it work for multivariate time series classification for example mixture of categorical and continues data? for example at time t1 we have observation: red, 2.4 , 5, 12.456 and...
where is the label if the review is positive or negative? we that they used it for sentiment supervised classification in this paper https://arxiv.org/abs/1509.01626 Character-level Convolutional Networks for Text Classification...
the error is c:\Sander\my_code\crosscat-master> c:\Sander\my_code\crosscat-master>python examples/dha_example.py www/data/dha.csv --num_chains 2 --num_transitions 2 Traceback (most recent call last): File "examples/dha_example.py", line 78, in X_L_list, X_D_list = engine.initialize(M_c, M_r, T, get_next_seed(), initialization='from_the_prior', n_chains=num_chains)...
do you have implementation for regression with confidence intervals ?
do you have support vector regression with soft margin and confidence interval ?
do you have Regression for spars categorical big data after one hot transformation then data is spars and only ones and zeros values many zeros and few ones?
do you have Quantile Regression for spars data after one hot transformation
I found this http://contrib.scikit-learn.org/lightning/auto_examples/plot_1d_total_variation.html but it is not logistic regression logistic regression for spars one hot data so data is ones and zeros
will you code work for similar coefficients case like in https://github.com/vene/pyowl