Instructions to use afg1/rat_transcript_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use afg1/rat_transcript_classifier with Scikit-learn:
from skops.hub_utils import download from skops.io import load download("afg1/rat_transcript_classifier", "path_to_folder") # make sure model file is in skops format # if model is a pickle file, make sure it's from a source you trust model = load("path_to_folder/rat_transcript_classifier.skops") - Notebooks
- Google Colab
- Kaggle
| library_name: sklearn | |
| tags: | |
| - sklearn | |
| - skops | |
| - tabular-classification | |
| model_format: skops | |
| model_file: rat_transcript_classifier.skops | |
| widget: | |
| - structuredData: | |
| 5p_exon_3p_dta: | |
| - 37621.0 | |
| - 13298.0 | |
| - 5.0 | |
| 5p_exon_dta: | |
| - 37166.0 | |
| - 13525.0 | |
| - 0.0 | |
| 5p_exon_overlap: | |
| - 0.0 | |
| - 0.0 | |
| - 0.957983193277311 | |
| comparison: | |
| - URS00022B95F7_10116@4/162637088-162637354,162640058-162640917:+ vs URS00022B67D3_10116@4/162668173-162673270,162674254-162674975:- | |
| - URS00022B3BFE_10116@7/127326516-127327003,127328022-127328176,127334907-127334980,127341770-127341967:+ | |
| vs URS00022B706E_10116@7/127326165-127326413,127335999-127337414,127340041-127340301:- | |
| - URS00022B4EAE_10116@1/53814578-53815897,53822454-53822548,53822635-53822754:- | |
| vs URS00022B680B_10116@1/53821369-53821902,53822454-53822548,53822635-53822749:- | |
| exons_overlapping: | |
| - 0 | |
| - 0 | |
| - 2 | |
| label: | |
| - 0 | |
| - 0 | |
| - 1 | |
| strand: | |
| - 0 | |
| - 0 | |
| - 1 | |
| type_sim: | |
| - 1.0 | |
| - 1.0 | |
| - 1.0 | |
| # Model description | |
| [More Information Needed] | |
| ## Intended uses & limitations | |
| [More Information Needed] | |
| ## Training Procedure | |
| [More Information Needed] | |
| ### Hyperparameters | |
| <details> | |
| <summary> Click to expand </summary> | |
| | Hyperparameter | Value | | |
| |--------------------------|---------| | |
| | bootstrap | True | | |
| | ccp_alpha | 0.0 | | |
| | class_weight | | | |
| | criterion | gini | | |
| | max_depth | | | |
| | max_features | sqrt | | |
| | max_leaf_nodes | | | |
| | max_samples | | | |
| | min_impurity_decrease | 0.0 | | |
| | min_samples_leaf | 1 | | |
| | min_samples_split | 2 | | |
| | min_weight_fraction_leaf | 0.0 | | |
| | monotonic_cst | | | |
| | n_estimators | 100 | | |
| | n_jobs | | | |
| | oob_score | False | | |
| | random_state | 42 | | |
| | verbose | 0 | | |
| | warm_start | False | | |
| </details> | |
| ### Model Plot | |
| <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;} | |
| }#sk-container-id-1 {color: var(--sklearn-color-text); | |
| }#sk-container-id-1 pre {padding: 0; | |
| }#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; | |
| }#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); | |
| }#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; | |
| }#sk-container-id-1 div.sk-text-repr-fallback {display: none; | |
| }div.sk-parallel-item, | |
| div.sk-serial, | |
| 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; | |
| }/* 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; | |
| }#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: var(--sklearn-color-background);position: relative; | |
| }#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column; | |
| }#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%; | |
| }#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%; | |
| }#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0; | |
| }/* 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; | |
| }/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is | |
| clickable and can be expanded/collapsed. | |
| - Pipeline and ColumnTransformer use this feature and define the default style | |
| - Estimators will overwrite some part of the style using the `sk-estimator` class | |
| *//* 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); | |
| }/* Toggleable label */ | |
| #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; | |
| }#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); | |
| }#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: var(--sklearn-color-text); | |
| }/* 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); | |
| }#sk-container-id-1 div.sk-toggleable__content.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0); | |
| }#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); | |
| }#sk-container-id-1 div.sk-toggleable__content.fitted pre {/* unfitted */background-color: var(--sklearn-color-fitted-level-0); | |
| }#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {/* Expand drop-down */max-height: 200px;max-width: 100%;overflow: auto; | |
| }#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾"; | |
| }/* 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); | |
| }#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); | |
| }/* Estimator-specific style *//* Colorize estimator box */ | |
| #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); | |
| }#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); | |
| }#sk-container-id-1 div.sk-label label.sk-toggleable__label, | |
| #sk-container-id-1 div.sk-label label {/* The background is the default theme color */color: var(--sklearn-color-text-on-default-background); | |
| }/* On hover, darken the color of the background */ | |
| #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); | |
| }/* Label box, darken color on hover, fitted */ | |
| #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); | |
| }/* Estimator label */#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em; | |
| }#sk-container-id-1 div.sk-label-container {text-align: center; | |
| }/* Estimator-specific */ | |
| #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); | |
| }#sk-container-id-1 div.sk-estimator.fitted {/* fitted */background-color: var(--sklearn-color-fitted-level-0); | |
| }/* on hover */ | |
| #sk-container-id-1 div.sk-estimator:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-2); | |
| }#sk-container-id-1 div.sk-estimator.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-2); | |
| }/* Specification for estimator info (e.g. "i" and "?") *//* Common style for "i" and "?" */.sk-estimator-doc-link, | |
| a:link.sk-estimator-doc-link, | |
| 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); | |
| }.sk-estimator-doc-link.fitted, | |
| a:link.sk-estimator-doc-link.fitted, | |
| a:visited.sk-estimator-doc-link.fitted {/* fitted */border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1); | |
| }/* On hover */ | |
| div.sk-estimator:hover .sk-estimator-doc-link:hover, | |
| .sk-estimator-doc-link:hover, | |
| div.sk-label-container:hover .sk-estimator-doc-link:hover, | |
| .sk-estimator-doc-link:hover {/* unfitted */background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none; | |
| }div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover, | |
| .sk-estimator-doc-link.fitted:hover, | |
| div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover, | |
| .sk-estimator-doc-link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3);color: var(--sklearn-color-background);text-decoration: none; | |
| }/* Span, style for the box shown on hovering the info icon */ | |
| .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); | |
| }.sk-estimator-doc-link.fitted span {/* fitted */background: var(--sklearn-color-fitted-level-0);border: var(--sklearn-color-fitted-level-3); | |
| }.sk-estimator-doc-link:hover span {display: block; | |
| }/* "?"-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; | |
| }#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); | |
| }/* On hover */ | |
| #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; | |
| }#sk-container-id-1 a.estimator_doc_link.fitted:hover {/* fitted */background-color: var(--sklearn-color-fitted-level-3); | |
| } | |
| </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"> 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> | |
| ## Evaluation Results | |
| [More Information Needed] | |
| # How to Get Started with the Model | |
| [More Information Needed] | |
| # Model Card Authors | |
| This model card is written by following authors: | |
| [More Information Needed] | |
| # Model Card Contact | |
| You can contact the model card authors through following channels: | |
| [More Information Needed] | |
| # Citation | |
| Below you can find information related to citation. | |
| **BibTeX:** | |
| ``` | |
| [More Information Needed] | |
| ``` | |