arkas
Advanced tools
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| Metadata-Version: 2.1 | ||
| Name: arkas | ||
| Version: 0.0.1a6 | ||
| Version: 0.0.1a7 | ||
| Summary: Library to evaluate ML model performances | ||
@@ -5,0 +5,0 @@ Home-page: https://github.com/durandtibo/arkas |
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| [tool.poetry] | ||
| name = "arkas" | ||
| version = "0.0.1a6" | ||
| version = "0.0.1a7" | ||
| description = "Library to evaluate ML model performances" | ||
@@ -5,0 +5,0 @@ readme = "README.md" |
@@ -174,3 +174,3 @@ r"""Contain the implementation of a HTML content generator that returns | ||
| """<details> | ||
| <summary>[show top-{{top}} pairwise column co-occurrence]</summary> | ||
| <summary>[show top-{{top}} pairwise column co-occurrence]</summary><br> | ||
| The following table shows the top-{{top}} pairwise column co-occurrences. | ||
@@ -216,3 +216,3 @@ The co-occurrence matrix is symmetric and only the co-occurrences in the lower triangular matrix are shown. | ||
| # Fill the lower triangular part with -1 before to sort the occurrences | ||
| half_matrix = np.triu(matrix) - np.tril(np.ones_like(matrix), 1) | ||
| half_matrix = np.triu(matrix) - np.tril(np.ones_like(matrix), -1) | ||
| rows, cols = np.unravel_index(np.argsort(half_matrix, axis=None), matrix.shape) | ||
@@ -219,0 +219,0 @@ n = matrix.shape[0] |
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