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Sequence learning toolkit for Python

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float64_t support removed from numpy and the existing code doesn't work hereafter

I am using the MultinomialHMM class of seqlearn and the code crashes with error ValueError: Buffer dtype mismatch, expected 'npy_intp' but got 'int' at the function count_trans() inside the fit()...

When I tried to install seqlearn on my macbook, following error occured: ValueError: 'seqlearn/_decode/bestfirst.pyx' doesn't match any files But I do have the bestfirst.pyx file in my folder.

I have data for sequence of events and that maps to one class.. So for example my data will look like X['Event1', 'Event2', 'Event3'] ---> Y[C1] X['Event2', 'Event1', 'Event5', 'Event2',...

Can we somehow install 'seqlearn' in Anaconda so that it can be used in the Spyder platform. I searched but it was not available in anaconda.org database. Any help would...

I spent a bit of time debugging why .score()'s output did not line up with my personal observations with the model performance so wanted to put some more documentation on...

Hello, I use your toolkit in sequence learning. I both train and predict data with csv/tsv files. In the other hand, it would be useful to make predictions immediately from...

I tried out to enable transition feature in perceptron learning. After I read the source code, I found the implementation is not consistent to the comments of make_trans_matrix(y, n_classes, dtype=np.float64)...

I am trying to enable trans_feature to get a more sophisticated model in seqlearn not only the unary term and pairwise term(transition matrix). But I encountered the exit error in...

Hello, I was hoping to reuse the model selection routines of the Scikitlearn API (grid search CV and the like), but it appears that neither HMM nor the StructuredPerceptron are...