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rf.mlem
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rf.mlem
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artifacts:
data:
hash: 86cfa9f32fad6cb353de2c631290f113
size: 163860
uri: rf
description: Random Forest Classifier
model_type:
methods:
predict:
args:
- name: data
type_:
columns:
- sepal length (cm)
- sepal width (cm)
- petal length (cm)
- petal width (cm)
dtypes:
- float64
- float64
- float64
- float64
index_cols: []
type: dataframe
name: predict
returns:
dtype: int64
shape:
- null
type: ndarray
predict_proba:
args:
- name: data
type_:
columns:
- sepal length (cm)
- sepal width (cm)
- petal length (cm)
- petal width (cm)
dtypes:
- float64
- float64
- float64
- float64
index_cols: []
type: dataframe
name: predict_proba
returns:
dtype: float64
shape:
- null
- 3
type: ndarray
sklearn_predict:
args:
- name: X
type_:
columns:
- sepal length (cm)
- sepal width (cm)
- petal length (cm)
- petal width (cm)
dtypes:
- float64
- float64
- float64
- float64
index_cols: []
type: dataframe
name: predict
returns:
dtype: int64
shape:
- null
type: ndarray
sklearn_predict_proba:
args:
- name: X
type_:
columns:
- sepal length (cm)
- sepal width (cm)
- petal length (cm)
- petal width (cm)
dtypes:
- float64
- float64
- float64
- float64
index_cols: []
type: dataframe
name: predict_proba
returns:
dtype: float64
shape:
- null
- 3
type: ndarray
type: sklearn
object_type: model
requirements:
- module: sklearn
version: 1.1.1
- module: pandas
version: 1.4.2
- module: numpy
version: 1.22.4