Error in cell when executing rf.fit(numpy_df_train, y_train)

[alelasantillan]

While running the cell:

from treeinterpreter import treeinterpreter as ti
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import classification_report,confusion_matrix

rf = RandomForestRegressor()
rf.fit(numpy_df_train, y_train)

I've got this error:

---

ValueError Traceback (most recent call last)
in ()
5
6 rf = RandomForestRegressor()
----> 7 rf.fit(numpy_df_train, y_train)
8
9

~/Desktop/programming/python/sirajprojects/StockMarketPredictions_Sep2017/lib/python3.6/site-packages/sklearn/ensemble/forest.py in fit(self, X, y, sample_weight)
245 """
246 # Validate or convert input data
--> 247 X = check_array(X, accept_sparse="csc", dtype=DTYPE)
248 y = check_array(y, accept_sparse='csc', ensure_2d=False, dtype=None)
249 if sample_weight is not None:

~/Desktop/programming/python/sirajprojects/StockMarketPredictions_Sep2017/lib/python3.6/site-packages/sklearn/utils/validation.py in check_array(array, accept_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)
431 force_all_finite)
432 else:
--> 433 array = np.array(array, dtype=dtype, order=order, copy=copy)
434
435 if ensure_2d:

ValueError: could not convert string to float: