Release 1.0.7

Release 1.0.7 of pydfc toolbox.

HIGHLIGHTS

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• Some bugs in sliding window technique's window definition are solved.
• GraphLasso (Graphical Lasso) has been added besides pear_corr as sw_method
• Now you can set the clstr_distance parameter in Sliding Window + Clustering technique to manhattan. Previously euclidean was the only option.

Release 1.0.5

Release 1.0.5 of pydfc toolbox.

HIGHLIGHTS

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• Some bugs in sliding window technique's window definition are solved.
• GraphLasso (Graphical Lasso) has been added besides pear_corr as sw_method
• Now you can set the clstr_distance parameter in Sliding Window + Clustering technique to manhattan. Previously euclidean was the only option.

Release 1.0.3

Release 1.0.3 of pydfc toolbox.

HIGHLIGHTS

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• You can easily install the toolbox by following the instructions in README.rst.
• The dFC_methods_demo.ipynb illustrates how to assess dFC using each of the methods implemented in the toolbox.
• The multi_analysis_demo.ipynb illustrates how to use the toolbox for applying multiple dFC methods together and assessing analytical flexibility.

Release 1.0.2

Release 1.0.2 of pydfc toolbox.

HIGHLIGHTS

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• You can easily install the toolbox by following the instructions in README.rst.
• The dFC_methods_demo.ipynb illustrates how to assess dFC using each of the methods implemented in the toolbox.
• The multi_analysis_demo.ipynb illustrates how to use the toolbox for applying multiple dFC methods together and assessing analytical flexibility.

Release 1.0.1

Release 1.0.1 of pydfc toolbox.

HIGHLIGHTS

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• You can easily install the toolbox by following the instructions in README.rst.
• The dFC_methods_demo.ipynb illustrates how to assess dFC using each of the methods implemented in the toolbox.
• The multi_analysis_demo.ipynb illustrates how to use the toolbox for applying multiple dFC methods together and assessing analytical flexibility.

Release 1.0.0

The first release of pydfc toolbox.

HIGHLIGHTS

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• You can easily install the toolbox by following the instructions in README.rst.
• The dFC_methods_demo.ipynb illustrates how to assess dFC using each of the methods implemented in the toolbox.
• The multi_analysis_demo.ipynb illustrates how to use the toolbox for applying multiple dFC methods together and assessing analytical flexibility.