vectorizers/__init__.py,sha256=u5Wt2NMYeG40L3cRFPWr_QkXoT8V-z6f1pv6GgJOnQk,1519
vectorizers/_vectorizers.py,sha256=4fWo_9cPDCYvmbVgAPapsR-IR4-4K_f3jk9HrquVdIk,11655
vectorizers/_version.py,sha256=HfjVOrpTnmZ-xVFCYSVmX50EXaBQeJteUHG-PD6iQs8,22
vectorizers/_window_kernels.py,sha256=G4VQnEGw_FeS-4dPKFUMsUjt2laipmzEuAdNCnXKQgk,9912
vectorizers/base_cooccurrence_vectorizer.py,sha256=vkZysxH2lLm7dIKTHDsCGT0uaA4EKNnP25oWQVyqMzI,31407
vectorizers/coo_utils.py,sha256=fPg2HINvAiSRl4nIEqhleVtJpJe6q9WMZ2p4RG7uRGE,10842
vectorizers/distances.py,sha256=ZC1iPkfimLJhelKefG1mRvcamMGOtWNr_EZ4M9wmuas,10011
vectorizers/distribution_vectorizer.py,sha256=vaQUwySgW3ahvmEiyenVha79C4fkV7pisJkjJvYP-5o,2648
vectorizers/edge_list_vectorizer.py,sha256=BpCOzxCQdQkSHDTpkNGK1ppjbHen-E0Pa-NX50wU6Dw,7723
vectorizers/kde_vectorizer.py,sha256=hq5N30vv6ZytJElasl3KHXv4ap8bLAcMXyS9J_zWScU,4800
vectorizers/linear_optimal_transport.py,sha256=ioyaWzqq_sr4pRpwQ7hA8rS_grwbvAgn7g4ldasclOc,126441
vectorizers/mixed_gram_vectorizer.py,sha256=f1nTmqszj_s_Y6BiYqLpteV_Mj6716m4qvCDHc_vWdE,33470
vectorizers/multi_token_cooccurence_vectorizer.py,sha256=aguMIujOwC4M4J-mgkrvij2EXPMBk2qTtw0mxlU-Syg,21383
vectorizers/ngram_token_cooccurence_vectorizer.py,sha256=Je49WddZaENO-W_9SxvmRUQ0ihAOkKjEK2z5SwmukWA,23038
vectorizers/ngram_vectorizer.py,sha256=BGUuq2hi2mVa5LOI5_zPf8P5jWr18okOg917gF8yESQ,19687
vectorizers/preprocessing.py,sha256=cLWplHRUHccikSDlNmosjDdQ3tV_U1bSbw5UCvMo724,41950
vectorizers/signature_vectorizer.py,sha256=rkanhhKTVeoGvqmk0yx_dIELi0e6Xe5Pd8YFH8uqYgw,7821
vectorizers/skip_gram_vectorizer.py,sha256=VeUe5yxbW1wVjcGLhrad1kvjPGzEzHP9Mb_mpmQLEfI,17230
vectorizers/timed_token_cooccurrence_vectorizer.py,sha256=tDAAWjDxOXY6YacCCmYmGcmb0px_nUogFjDRWXQ0u5Y,19228
vectorizers/token_cooccurrence_vectorizer.py,sha256=ZAporW1vB1QRVIlsdtf2Hz8j-hCsgAdf7m4gg7QkNBk,17310
vectorizers/tree_token_cooccurrence.py,sha256=eRE2v2duzxcJauPUDUsP0WWp_dRkFTxyJAfQeiJOXX4,17931
vectorizers/utils.py,sha256=UbXQykcvAcLJ63tRz6NtAJ7gpfpwqxITYlT_fuz3shs,16707
vectorizers/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
vectorizers/tests/test_common.py,sha256=Las55TrrJ2niSMPvvPXoK6N1p6feR_J8DaNjt_frAp4,50584
vectorizers/tests/test_distances.py,sha256=ePv2sOcVH3ZiBWhDuwMVaICwrJFp40kU3-VWxQOWrkU,5014
vectorizers/tests/test_edge_list_vectorizer.py,sha256=4j97jfnHitiq-fns12jnl5cMr1UIwg6ViWMATxn6zF0,2162
vectorizers/tests/test_signature_vectorizer.py,sha256=DcRJJXDfJwlP8rF8DgJV1PKAIMRxbkhEWYFKQzVuFus,4836
vectorizers/tests/test_template.py,sha256=0IWNZ44zo6JwerMHQBfb4z3ytWX0IlMlKU-A3l17SwM,1680
vectorizers/tests/test_transformers.py,sha256=BFPMnhujjHCOgMF-psExhwXPAdT4gQSx6v3lYFWhh4w,14884
vectorizers/transformers/__init__.py,sha256=mFnsWVsTSc5Tet7rCOd5mBASMeYsL3cThGThSR0gzkc,821
vectorizers/transformers/categorical_columns.py,sha256=b4IV-8Aqtk_IAGp72pks5HBlMi3lgT0urbc5Iosnj5o,6011
vectorizers/transformers/count_feature_compression.py,sha256=0bL4U9h3GDTjUXs8t16h3rQeEHiskzMxskVUTiaG7vk,5508
vectorizers/transformers/info_weight.py,sha256=LW3UI0y_0nLX11AvpbMyowP9tXQ4BNAS04r66osbgY4,10905
vectorizers/transformers/row_desnoise.py,sha256=z8UNudE162uOzVgZOoz-QSuJ4NVo_m-COGm9UhGV0bY,6056
vectorizers/transformers/sliding_windows.py,sha256=_-X3dNUiLtGk7D9uFwJNAuiRDRzZXFauxeE-DFdGWIs,18189
vectorizers-0.2.1.dist-info/LICENSE,sha256=wLCpo52Hk7AiFb1tQqXpMtQW16mVovwy6x-rYJt5pec,1541
vectorizers-0.2.1.dist-info/METADATA,sha256=IOnU1d2o-YpOSKogR9yMnbCdPeUcbMRrBnSh0swngmQ,6411
vectorizers-0.2.1.dist-info/WHEEL,sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM,92
vectorizers-0.2.1.dist-info/top_level.txt,sha256=dQ_J42vhqWV5Fm7A9ypEZ-vZywAiWj8jDYNx9KvlIHM,12
vectorizers-0.2.1.dist-info/RECORD,,
