Morten Hjorth-Jensen
67 lines
3.2 KiB
Plaintext
67 lines
3.2 KiB
Plaintext
Traceback (most recent call last):
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution
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executenb(
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 1087, in execute
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return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
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return just_run(coro(*args, **kwargs))
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
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return loop.run_until_complete(coro)
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
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return future.result()
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 540, in async_execute
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await self.async_execute_cell(
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 832, in async_execute_cell
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self._check_raise_for_error(cell, exec_reply)
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File "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 740, in _check_raise_for_error
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raise CellExecutionError.from_cell_and_msg(cell, exec_reply['content'])
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nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
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------------------
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import os
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from sklearn.datasets import load_breast_cancer
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from sklearn.tree import DecisionTreeClassifier
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from sklearn.model_selection import train_test_split
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from sklearn.metrics import confusion_matrix
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from sklearn.tree import export_graphviz
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from IPython.display import Image
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from pydot import graph_from_dot_data
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import pandas as pd
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import numpy as np
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cancer = load_breast_cancer()
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X = pd.DataFrame(cancer.data, columns=cancer.feature_names)
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print(X)
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y = pd.Categorical.from_codes(cancer.target, cancer.target_names)
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y = pd.get_dummies(y)
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print(y)
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X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=1)
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tree_clf = DecisionTreeClassifier(max_depth=5)
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tree_clf.fit(X_train, y_train)
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export_graphviz(
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tree_clf,
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out_file="DataFiles/cancer.dot",
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feature_names=cancer.feature_names,
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class_names=cancer.target_names,
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rounded=True,
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filled=True
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)
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cmd = 'dot -Tpng DataFiles/cancer.dot -o DataFiles/cancer.png'
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os.system(cmd)
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------------------
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[0;31m---------------------------------------------------------------------------[0m
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[0;31mModuleNotFoundError[0m Traceback (most recent call last)
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[0;32m<ipython-input-2-7c394b1e8b71>[0m in [0;36m<module>[0;34m[0m
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[1;32m 7[0m [0;34m[0m[0m
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[1;32m 8[0m [0;32mfrom[0m [0mIPython[0m[0;34m.[0m[0mdisplay[0m [0;32mimport[0m [0mImage[0m[0;34m[0m[0;34m[0m[0m
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[0;32m----> 9[0;31m [0;32mfrom[0m [0mpydot[0m [0;32mimport[0m [0mgraph_from_dot_data[0m[0;34m[0m[0;34m[0m[0m
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[0m[1;32m 10[0m [0;32mimport[0m [0mpandas[0m [0;32mas[0m [0mpd[0m[0;34m[0m[0;34m[0m[0m
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[1;32m 11[0m [0;32mimport[0m [0mnumpy[0m [0;32mas[0m [0mnp[0m[0;34m[0m[0;34m[0m[0m
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[0;31mModuleNotFoundError[0m: No module named 'pydot'
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ModuleNotFoundError: No module named 'pydot'
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