TemporalRegression / README.md
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uploading the model
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metadata
library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-classification
model_file: model.pkl
widget:
  structuredData:
    angel_n_rounds:
      - 0
      - 0
      - 0
    pre_seed_n_rounds:
      - 0
      - 0
      - 0
    seed_funding_normalised:
      - 0
      - 0
      - 0.0018888888888888
    seed_n_rounds:
      - 2
      - 0
      - 1
    time_first_funding_normalised:
      - 0.2120435618193465
      - 0.380183642963912
      - 0.209908178518044
    time_till_series_a_normalised:
      - 0.3253001132502832
      - 0.3585503963759909
      - 0.2226500566251415

Model description

[More Information Needed]

Intended uses & limitations

[More Information Needed]

Training Procedure

Hyperparameters

The model is trained with below hyperparameters.

Click to expand
Hyperparameter Value
C 1.0
class_weight
dual False
fit_intercept True
intercept_scaling 1
l1_ratio
max_iter 100
multi_class auto
n_jobs
penalty none
random_state 0
solver lbfgs
tol 0.0001
verbose 0
warm_start False

Model Plot

The model plot is below.

LogisticRegression(penalty='none', random_state=0)
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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]

model_card_authors

jirko

model_description

just the temporal regression with reduced input features