jirkoru commited on
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uploading the model

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  1. README.md +111 -1
  2. config.json +52 -0
  3. model.pkl +3 -0
README.md CHANGED
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  ---
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_file: model.pkl
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+ widget:
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+ structuredData:
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+ angel_n_rounds:
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+ - 0.0
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+ - 0.0
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+ - 0.0
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+ pre_seed_n_rounds:
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+ - 0.0
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+ - 0.0
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+ - 0.0
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+ seed_funding_normalised:
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+ - 0.0
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+ - 0.0
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+ - 0.0018888888888888
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+ seed_n_rounds:
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+ - 2.0
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+ - 0.0
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+ - 1.0
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+ time_first_funding_normalised:
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+ - 0.2120435618193465
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+ - 0.380183642963912
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+ - 0.209908178518044
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+ time_till_series_a_normalised:
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+ - 0.3253001132502832
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+ - 0.3585503963759909
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+ - 0.2226500566251415
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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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+ ### Hyperparameters
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+
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+ The model is trained with below 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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+ | C | 1.0 |
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+ | class_weight | |
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+ | dual | False |
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+ | fit_intercept | True |
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+ | intercept_scaling | 1 |
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+ | l1_ratio | |
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+ | max_iter | 100 |
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+ | multi_class | auto |
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+ | n_jobs | |
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+ | penalty | none |
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+ | random_state | 0 |
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+ | solver | lbfgs |
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+ | tol | 0.0001 |
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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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+ The model plot is below.
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+
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+ <style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#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-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#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;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#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;}#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 the default 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;}</style><div id="sk-container-id-1" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>LogisticRegression(penalty=&#x27;none&#x27;, random_state=0)</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 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 sk-toggleable__label-arrow">LogisticRegression</label><div class="sk-toggleable__content"><pre>LogisticRegression(penalty=&#x27;none&#x27;, random_state=0)</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]
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+
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+ # Citation
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+
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+ 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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+ ```
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+
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+ # model_card_authors
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+
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+ jirko
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+
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+ # model_description
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+
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+ just the temporal regression with reduced input features
config.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "sklearn": {
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+ "columns": [
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+ "seed_n_rounds",
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+ "angel_n_rounds",
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+ "pre_seed_n_rounds",
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+ "time_first_funding_normalised",
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+ "seed_funding_normalised",
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+ "time_till_series_a_normalised"
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+ ],
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+ "environment": [
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+ "scikit-learn=1.1.3"
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+ ],
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+ "example_input": {
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+ "angel_n_rounds": [
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+ 0.0,
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+ 0.0,
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+ 0.0
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+ ],
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+ "pre_seed_n_rounds": [
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+ 0.0,
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+ 0.0,
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+ 0.0
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+ ],
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+ "seed_funding_normalised": [
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+ 0.0,
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+ 0.0,
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+ 0.0018888888888888
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+ ],
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+ "seed_n_rounds": [
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+ 2.0,
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+ 0.0,
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+ 1.0
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+ ],
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+ "time_first_funding_normalised": [
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+ 0.2120435618193465,
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+ 0.380183642963912,
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+ 0.209908178518044
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+ ],
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+ "time_till_series_a_normalised": [
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+ 0.3253001132502832,
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+ 0.3585503963759909,
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+ 0.2226500566251415
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+ ]
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+ },
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+ "model": {
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+ "file": "model.pkl"
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+ },
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+ "model_format": "pickle",
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+ "task": "tabular-classification"
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+ }
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+ }
model.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:548f990743117f60a9fb264c074b6a5b8df56825b3b3c643b885463deed1a84a
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+ size 989