moremodels

Name	moremodels JSON
Version	1.0.3 JSON
	download
home_page	https://github.com/AbdelRahmanYaghi/moremodels
Summary	More options to ensemble your models
upload_time	2023-01-26 18:57:26
maintainer
docs_url	None
author	AbdelRahman Yaghi
requires_python	>=3.6
license
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # MoreModels

A python library allowing you to use multiple models using the weight of each model based on their performance

install using 
```
pip install moremodels
```

Example code:

```
from moremodels import WeightedModels

model1 = catboost.CatBoostRegressor()
model2 = RandomForestRegressor()
model3 = xgboost.XGBRegressor()

my_data = pd.read('my_data.csv')
test = pd.read('test.csv)

my_models = [model1, model2, model3]
models = WeightedModels( models = my_models, trainSplit = 0.8, randomState = 696969 )

models.fit(my_data)

print(models.modelWeights)

myPredictedData = models.predict(test)

print(models.models[0])

```

            

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    "description": "# MoreModels\r\n\r\nA python library allowing you to use multiple models using the weight of each model based on their performance\r\n\r\ninstall using \r\n```\r\npip install moremodels\r\n```\r\n\r\nExample code:\r\n\r\n```\r\nfrom moremodels import WeightedModels\r\n\r\nmodel1 = catboost.CatBoostRegressor()\r\nmodel2 = RandomForestRegressor()\r\nmodel3 = xgboost.XGBRegressor()\r\n\r\nmy_data = pd.read('my_data.csv')\r\ntest = pd.read('test.csv)\r\n\r\nmy_models = [model1, model2, model3]\r\nmodels = WeightedModels( models = my_models, trainSplit = 0.8, randomState = 696969 )\r\n\r\nmodels.fit(my_data)\r\n\r\nprint(models.modelWeights)\r\n\r\nmyPredictedData = models.predict(test)\r\n\r\nprint(models.models[0])\r\n\r\n```\r\n",
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