AttributeError: 'SymbolicTransformer' object has no attribute '_program'

[ghost]

AttributeError: 'SymbolicTransformer' object has no attribute '_program'

I would be really interested to obtain transformed equation. Please help.

[trevorstephens]

I can't help if you don't show any detail whatsoever on how you got to this point. Please read the documentation and refer to the examples. https://gplearn.readthedocs.io/

[ghost]

Here is a complete code to reproduce the error.

import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import load_wine, load_diabetes
from sklearn.model_selection import train_test_split
from sklearn.metrics import cohen_kappa_score
from gplearn.genetic import SymbolicClassifier, SymbolicRegressor, SymbolicTransformer
from gplearn.functions import make_function

ds = load_diabetes()
X = ds.data
Y = ds.target

print (X.shape)
print (Y.shape)

X_train, X_test, y_train, y_test = train_test_split(X, Y,
                                                    test_size=0.25,
                                                    random_state=41652)
print (X_train.shape)

function_sets = (
                'add',
                 'sub',
                 'mul',
                 'div',
                 'sqrt',
                 'log',
                 'max',
                 'min',
                 'sin',
                 'cos'
           )

est = SymbolicTransformer(function_set=function_sets,
                         generations=3,
                         verbose=1,
                         n_jobs=-1,
                         n_components=3,
                         random_state=67894)

X_train = est.fit_transform(X_train, y_train)
print (X_train.shape)

print(est._program)

AttributeError: 'SymbolicTransformer' object has no attribute '_program'

I want it prints the equation to transform the data.

[trevorstephens]

The transformer creates several programs in the _programs attribute, but you can just print(est) to see what they are

[ghost]

i see ! thank you so much.