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  1. .gitattributes +1 -0
  2. README.md +194 -0
  3. config.json +66 -0
  4. rat_transcript_classifier.skops +3 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ rat_transcript_classifier.skops filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,194 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: sklearn
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+ tags:
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+ - sklearn
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+ - skops
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+ - tabular-classification
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+ model_format: skops
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+ model_file: rat_transcript_classifier.skops
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+ widget:
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+ - structuredData:
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+ 5p_exon_3p_dta:
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+ - 37621.0
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+ - 13298.0
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+ - 5.0
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+ 5p_exon_dta:
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+ - 37166.0
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+ - 13525.0
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+ - 0.0
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+ 5p_exon_overlap:
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+ - 0.0
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+ - 0.0
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+ - 0.957983193277311
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+ comparison:
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+ - URS00022B95F7_10116@4/162637088-162637354,162640058-162640917:+ vs URS00022B67D3_10116@4/162668173-162673270,162674254-162674975:-
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+ - URS00022B3BFE_10116@7/127326516-127327003,127328022-127328176,127334907-127334980,127341770-127341967:+
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+ vs URS00022B706E_10116@7/127326165-127326413,127335999-127337414,127340041-127340301:-
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+ - URS00022B4EAE_10116@1/53814578-53815897,53822454-53822548,53822635-53822754:-
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+ vs URS00022B680B_10116@1/53821369-53821902,53822454-53822548,53822635-53822749:-
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+ exons_overlapping:
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+ - 0
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+ - 0
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+ - 2
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+ label:
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+ - 0
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+ - 0
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+ - 1
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+ strand:
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+ - 0
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+ - 0
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+ - 1
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+ type_sim:
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+ - 1.0
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+ - 1.0
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+ - 1.0
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+ ---
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+
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+ # Model description
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+
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+ [More Information Needed]
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+
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+ ## Intended uses & limitations
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+
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+ [More Information Needed]
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+
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+ ## Training Procedure
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+
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+ [More Information Needed]
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+
59
+ ### Hyperparameters
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+
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+ <details>
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+ <summary> Click to expand </summary>
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+
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+ | Hyperparameter | Value |
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+ |--------------------------|---------|
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+ | bootstrap | True |
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+ | ccp_alpha | 0.0 |
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+ | class_weight | |
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+ | criterion | gini |
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+ | max_depth | |
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+ | max_features | sqrt |
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+ | max_leaf_nodes | |
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+ | max_samples | |
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+ | min_impurity_decrease | 0.0 |
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+ | min_samples_leaf | 1 |
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+ | min_samples_split | 2 |
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+ | min_weight_fraction_leaf | 0.0 |
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+ | monotonic_cst | |
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+ | n_estimators | 100 |
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+ | n_jobs | |
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+ | oob_score | False |
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+ | random_state | 42 |
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+ | verbose | 0 |
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+ | warm_start | False |
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+
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+ </details>
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+
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+ ### Model Plot
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+
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+ <style>#sk-container-id-1 {/* Definition of color scheme common for light and dark mode */--sklearn-color-text: black;--sklearn-color-line: gray;/* Definition of color scheme for unfitted estimators */--sklearn-color-unfitted-level-0: #fff5e6;--sklearn-color-unfitted-level-1: #f6e4d2;--sklearn-color-unfitted-level-2: #ffe0b3;--sklearn-color-unfitted-level-3: chocolate;/* Definition of color scheme for fitted estimators */--sklearn-color-fitted-level-0: #f0f8ff;--sklearn-color-fitted-level-1: #d4ebff;--sklearn-color-fitted-level-2: #b3dbfd;--sklearn-color-fitted-level-3: cornflowerblue;/* Specific color for light theme */--sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));--sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));--sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));--sklearn-color-icon: #696969;@media (prefers-color-scheme: dark) {/* Redefinition of color scheme for dark theme */--sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));--sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));--sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));--sklearn-color-icon: #878787;}
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+ }#sk-container-id-1 {color: var(--sklearn-color-text);
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+ }#sk-container-id-1 pre {padding: 0;
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+ }#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;
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+ }#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed var(--sklearn-color-line);margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: var(--sklearn-color-background);
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+ }#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }`but bootstrap.min.css set `[hidden] { display: none !important; }`so we also need the `!important` here to be able to override thedefault hidden behavior on the sphinx rendered scikit-learn.org.See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;
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+ }#sk-container-id-1 div.sk-text-repr-fallback {display: none;
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+ }div.sk-parallel-item,
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+ div.sk-serial,
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+ div.sk-item {/* draw centered vertical line to link estimators */background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));background-size: 2px 100%;background-repeat: no-repeat;background-position: center center;
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+ }/* Parallel-specific style estimator block */#sk-container-id-1 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 2px solid var(--sklearn-color-text-on-default-background);flex-grow: 1;
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+ }#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: var(--sklearn-color-background);position: relative;
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+ }#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;
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+ }#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;
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+ }#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;
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+ }#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;
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+ }/* Serial-specific style estimator block */#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: var(--sklearn-color-background);padding-right: 1em;padding-left: 1em;
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+ }/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
108
+ clickable and can be expanded/collapsed.
109
+ - Pipeline and ColumnTransformer use this feature and define the default style
110
+ - Estimators will overwrite some part of the style using the `sk-estimator` class
111
+ *//* Pipeline and ColumnTransformer style (default) */#sk-container-id-1 div.sk-toggleable {/* Default theme specific background. It is overwritten whether we have aspecific estimator or a Pipeline/ColumnTransformer */background-color: var(--sklearn-color-background);
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+ }/* Toggleable label */
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+ #sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.5em;box-sizing: border-box;text-align: center;
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+ }#sk-container-id-1 label.sk-toggleable__label-arrow:before {/* Arrow on the left of the label */content: "▸";float: left;margin-right: 0.25em;color: var(--sklearn-color-icon);
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+ }#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: var(--sklearn-color-text);
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+ }/* Toggleable content - dropdown */#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
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+ }#sk-container-id-1 div.sk-toggleable__content.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
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+ }#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;border-radius: 0.25em;color: var(--sklearn-color-text);/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
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+ }#sk-container-id-1 div.sk-toggleable__content.fitted pre {/* unfitted */background-color: var(--sklearn-color-fitted-level-0);
120
+ }#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {/* Expand drop-down */max-height: 200px;max-width: 100%;overflow: auto;
121
+ }#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";
122
+ }/* Pipeline/ColumnTransformer-specific style */#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2);
123
+ }#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: var(--sklearn-color-fitted-level-2);
124
+ }/* Estimator-specific style *//* Colorize estimator box */
125
+ #sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
126
+ }#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
127
+ }#sk-container-id-1 div.sk-label label.sk-toggleable__label,
128
+ #sk-container-id-1 div.sk-label label {/* The background is the default theme color */color: var(--sklearn-color-text-on-default-background);
129
+ }/* On hover, darken the color of the background */
130
+ #sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2);
131
+ }/* Label box, darken color on hover, fitted */
132
+ #sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {color: var(--sklearn-color-text);background-color: var(--sklearn-color-fitted-level-2);
133
+ }/* Estimator label */#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;
134
+ }#sk-container-id-1 div.sk-label-container {text-align: center;
135
+ }/* Estimator-specific */
136
+ #sk-container-id-1 div.sk-estimator {font-family: monospace;border: 1px dotted var(--sklearn-color-border-box);border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;/* unfitted */background-color: var(--sklearn-color-unfitted-level-0);
137
+ }#sk-container-id-1 div.sk-estimator.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0);
138
+ }/* on hover */
139
+ #sk-container-id-1 div.sk-estimator:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2);
140
+ }#sk-container-id-1 div.sk-estimator.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-2);
141
+ }/* Specification for estimator info (e.g. "i" and "?") *//* Common style for "i" and "?" */.sk-estimator-doc-link,
142
+ a:link.sk-estimator-doc-link,
143
+ a:visited.sk-estimator-doc-link {float: right;font-size: smaller;line-height: 1em;font-family: monospace;background-color: var(--sklearn-color-background);border-radius: 1em;height: 1em;width: 1em;text-decoration: none !important;margin-left: 1ex;/* unfitted */border: var(--sklearn-color-unfitted-level-1) 1pt solid;color: var(--sklearn-color-unfitted-level-1);
144
+ }.sk-estimator-doc-link.fitted,
145
+ a:link.sk-estimator-doc-link.fitted,
146
+ a:visited.sk-estimator-doc-link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1);
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+ }/* On hover */
148
+ div.sk-estimator:hover .sk-estimator-doc-link:hover,
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+ .sk-estimator-doc-link:hover,
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+ div.sk-label-container:hover .sk-estimator-doc-link:hover,
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+ .sk-estimator-doc-link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
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+ }div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
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+ .sk-estimator-doc-link.fitted:hover,
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+ div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
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+ .sk-estimator-doc-link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
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+ }/* Span, style for the box shown on hovering the info icon */
157
+ .sk-estimator-doc-link span {display: none;z-index: 9999;position: relative;font-weight: normal;right: .2ex;padding: .5ex;margin: .5ex;width: min-content;min-width: 20ex;max-width: 50ex;color: var(--sklearn-color-text);box-shadow: 2pt 2pt 4pt #999;/* unfitted */background: var(--sklearn-color-unfitted-level-0);border: .5pt solid var(--sklearn-color-unfitted-level-3);
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+ }.sk-estimator-doc-link.fitted span {/* fitted */background: var(--sklearn-color-fitted-level-0);border: var(--sklearn-color-fitted-level-3);
159
+ }.sk-estimator-doc-link:hover span {display: block;
160
+ }/* "?"-specific style due to the `<a>` HTML tag */#sk-container-id-1 a.estimator_doc_link {float: right;font-size: 1rem;line-height: 1em;font-family: monospace;background-color: var(--sklearn-color-background);border-radius: 1rem;height: 1rem;width: 1rem;text-decoration: none;/* unfitted */color: var(--sklearn-color-unfitted-level-1);border: var(--sklearn-color-unfitted-level-1) 1pt solid;
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+ }#sk-container-id-1 a.estimator_doc_link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1);
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+ }/* On hover */
163
+ #sk-container-id-1 a.estimator_doc_link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none;
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+ }#sk-container-id-1 a.estimator_doc_link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);
165
+ }
166
+ </style><div id="sk-container-id-1" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>RandomForestClassifier(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;RandomForestClassifier<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.4/modules/generated/sklearn.ensemble.RandomForestClassifier.html">?<span>Documentation for RandomForestClassifier</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>RandomForestClassifier(random_state=42)</pre></div> </div></div></div></div>
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+
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+ ## Evaluation Results
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+
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+ [More Information Needed]
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+
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+ # How to Get Started with the Model
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+
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+ [More Information Needed]
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+
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+ # Model Card Authors
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+
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+ This model card is written by following authors:
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+
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+ [More Information Needed]
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+
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+ # Model Card Contact
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+
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+ You can contact the model card authors through following channels:
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+ [More Information Needed]
186
+
187
+ # Citation
188
+
189
+ Below you can find information related to citation.
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+
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+ **BibTeX:**
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+ ```
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+ [More Information Needed]
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+ ```
config.json ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "sklearn": {
3
+ "columns": [
4
+ "5p_exon_overlap",
5
+ "5p_exon_dta",
6
+ "5p_exon_3p_dta",
7
+ "exons_overlapping",
8
+ "strand",
9
+ "type_sim",
10
+ "label",
11
+ "comparison"
12
+ ],
13
+ "environment": [
14
+ "scikit-learn==1.4.0",
15
+ "polars==0.20.6",
16
+ "skops==0.10.0"
17
+ ],
18
+ "example_input": {
19
+ "5p_exon_3p_dta": [
20
+ 37621.0,
21
+ 13298.0,
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+ 5.0
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+ ],
24
+ "5p_exon_dta": [
25
+ 37166.0,
26
+ 13525.0,
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+ 0.0
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+ ],
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+ "5p_exon_overlap": [
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+ 0.0,
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+ 0.0,
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+ 0.957983193277311
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+ ],
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+ "comparison": [
35
+ "URS00022B95F7_10116@4/162637088-162637354,162640058-162640917:+ vs URS00022B67D3_10116@4/162668173-162673270,162674254-162674975:-",
36
+ "URS00022B3BFE_10116@7/127326516-127327003,127328022-127328176,127334907-127334980,127341770-127341967:+ vs URS00022B706E_10116@7/127326165-127326413,127335999-127337414,127340041-127340301:-",
37
+ "URS00022B4EAE_10116@1/53814578-53815897,53822454-53822548,53822635-53822754:- vs URS00022B680B_10116@1/53821369-53821902,53822454-53822548,53822635-53822749:-"
38
+ ],
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+ "exons_overlapping": [
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+ 0,
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+ 0,
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+ 2
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+ ],
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+ "label": [
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+ ],
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+ "strand": [
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+ 1
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+ ],
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+ "type_sim": [
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+ 1.0,
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+ 1.0,
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+ 1.0
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+ ]
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+ },
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+ "model": {
61
+ "file": "rat_transcript_classifier.skops"
62
+ },
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+ "model_format": "skops",
64
+ "task": "tabular-classification"
65
+ }
66
+ }
rat_transcript_classifier.skops ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ size 4200411