Dataset Viewer
kernel_id
stringclasses 4
values | code
stringlengths 1
1.59k
| output
stringlengths 0
70.5M
| execution_time
float64 0
60
| memory_bytes
int64 50.7M
10.7B
| runtime_variables
dict | hash_index
stringlengths 32
32
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|---|---|---|---|---|---|---|
388ef554-e3e7-4410-89ac-d6ad4aeaec6c | import pandas as pd
features_path = 'data/task2/'
test_features = pd.read_pickle(features_path+'test_features.pkl')
train_features = pd.read_pickle(features_path+'train_features.pkl')
validation_features = pd.read_pickle(features_path+'validation_features.pkl')
train_features.index = range(train_features.shape[0])
validation_features.index = range(validation_features.shape[0])
test_features.index = range(test_features.shape[0])
train_features.fillna(0,inplace=True)
test_features.fillna(0,inplace=True)
validation_features.fillna(0,inplace=True)
print(train_features.shape)
print(validation_features.shape)
print(test_features.shape) | (5833, 32)
(1927, 32)
(1918, 21)
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} | 201c0cafbfc6160333215ff621876c7f |
388ef554-e3e7-4410-89ac-d6ad4aeaec6c | train_features | Out[1]:
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... ... ... ... ... ...
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[5833 rows x 32 columns]
filename cell_type ... save_results comment_only
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... ... ... ... ... ...
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[5833 rows x 32 columns]
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} | 67706e33ce5deb9e7987dcfbacf9a72c |
388ef554-e3e7-4410-89ac-d6ad4aeaec6c | train_features
type(train_feature) | [0;31m---------------------------------------------------------------------------[0m
[0;31mNameError[0m Traceback (most recent call last)
File [0;32m<ipython-input-1-a115130d9478>:3[0m
[1;32m 1[0m train_features
[0;32m----> 3[0m [38;5;28mtype[39m([43mtrain_feature[49m)
[0;31mNameError[0m: name 'train_feature' is not defined
Error: name 'train_feature' is not defined
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} | d62e871850f75eebf021361f6d6989e3 |
388ef554-e3e7-4410-89ac-d6ad4aeaec6c | train_features
type(train_features) | Out[1]: pandas.core.frame.DataFrame
<class 'pandas.core.frame.DataFrame'>
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388ef554-e3e7-4410-89ac-d6ad4aeaec6c | !pip install sklearn
!pip install lightgbm as lbg | Collecting sklearn
Using cached sklearn-0.0.post12.tar.gz (2.6 kB)
Preparing metadata (setup.py) ... [?25l- error
[1;31merror[0m: [1msubprocess-exited-with-error[0m
[31m×[0m [32mpython setup.py egg_info[0m did not run successfully.
[31m│[0m exit code: [1;36m1[0m
[31m╰─>[0m [31m[15 lines of output][0m
[31m [0m The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
[31m [0m rather than 'sklearn' for pip commands.
[31m [0m
[31m [0m Here is how to fix this error in the main use cases:
[31m [0m - use 'pip install scikit-learn' rather than 'pip install sklearn'
[31m [0m - replace 'sklearn' by 'scikit-learn' in your pip requirements files
[31m [0m (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
[31m [0m - if the 'sklearn' package is used by one of your dependencies,
[31m [0m it would be great if you take some time to track which package uses
[31m [0m 'sklearn' instead of 'scikit-learn' and report it to their issue tracker
[31m [0m - as a last resort, set the environment variable
[31m [0m SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error
[31m [0m
[31m [0m More information is available at
[31m [0m https://github.com/scikit-learn/sklearn-pypi-package
[31m [0m [31m[end of output][0m
[1;35mnote[0m: This error originates from a subprocess, and is likely not a problem with pip.
[1;31merror[0m: [1mmetadata-generation-failed[0m
[31m×[0m Encountered error while generating package metadata.
[31m╰─>[0m See above for output.
[1;35mnote[0m: This is an issue with the package mentioned above, not pip.
[1;36mhint[0m: See above for details.
[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m A new release of pip is available: [0m[31;49m23.0.1[0m[39;49m -> [0m[32;49m25.0[0m
[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m To update, run: [0m[32;49mpip install --upgrade pip[0m
[?25hRequirement already satisfied: lightgbm in /usr/local/lib/python3.9/site-packages (4.5.0)
[31mERROR: Could not find a version that satisfies the requirement as (from versions: none)[0m[31m
[0m[31mERROR: No matching distribution found for as[0m[31m
[0m
[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m A new release of pip is available: [0m[31;49m23.0.1[0m[39;49m -> [0m[32;49m25.0[0m
[1m[[0m[34;49mnotice[0m[1;39;49m][0m[39;49m To update, run: [0m[32;49mpip install --upgrade pip[0m
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388ef554-e3e7-4410-89ac-d6ad4aeaec6c | train_features.columns | Out[1]:
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388ef554-e3e7-4410-89ac-d6ad4aeaec6c | train_features.columns | Out[1]:
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388ef554-e3e7-4410-89ac-d6ad4aeaec6c |
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|
388ef554-e3e7-4410-89ac-d6ad4aeaec6c | train_features.drop(columns=["filename"]) | Out[1]:
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388ef554-e3e7-4410-89ac-d6ad4aeaec6c | clf = lgb.LGBMClassifier() | [0;31m---------------------------------------------------------------------------[0m
[0;31mNameError[0m Traceback (most recent call last)
File [0;32m<ipython-input-1-e597d21fc49d>:1[0m
[0;32m----> 1[0m clf [38;5;241m=[39m [43mlgb[49m[38;5;241m.[39mLGBMClassifier()
[0;31mNameError[0m: name 'lgb' is not defined
Error: name 'lgb' is not defined
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[31m [0m - replace 'sklearn' by 'scikit-learn' in your pip requirements files
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[31m [0m - as a last resort, set the environment variable
[31m [0m SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error
[31m [0m
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388ef554-e3e7-4410-89ac-d6ad4aeaec6c | !pip install sklearn
!pip install lightgbm | Collecting sklearn
Using cached sklearn-0.0.post12.tar.gz (2.6 kB)
Preparing metadata (setup.py) ... [?25l- error
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[31m╰─>[0m [31m[15 lines of output][0m
[31m [0m The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
[31m [0m rather than 'sklearn' for pip commands.
[31m [0m
[31m [0m Here is how to fix this error in the main use cases:
[31m [0m - use 'pip install scikit-learn' rather than 'pip install sklearn'
[31m [0m - replace 'sklearn' by 'scikit-learn' in your pip requirements files
[31m [0m (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
[31m [0m - if the 'sklearn' package is used by one of your dependencies,
[31m [0m it would be great if you take some time to track which package uses
[31m [0m 'sklearn' instead of 'scikit-learn' and report it to their issue tracker
[31m [0m - as a last resort, set the environment variable
[31m [0m SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error
[31m [0m
[31m [0m More information is available at
[31m [0m https://github.com/scikit-learn/sklearn-pypi-package
[31m [0m [31m[end of output][0m
[1;35mnote[0m: This error originates from a subprocess, and is likely not a problem with pip.
[1;31merror[0m: [1mmetadata-generation-failed[0m
[31m×[0m Encountered error while generating package metadata.
[31m╰─>[0m See above for output.
[1;35mnote[0m: This is an issue with the package mentioned above, not pip.
[1;36mhint[0m: See above for details.
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[?25hRequirement already satisfied: lightgbm in /usr/local/lib/python3.9/site-packages (4.5.0)
Requirement already satisfied: numpy>=1.17.0 in /usr/local/lib/python3.9/site-packages (from lightgbm) (1.26.4)
Requirement already satisfied: scipy in /usr/local/lib/python3.9/site-packages (from lightgbm) (1.13.1)
[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv[0m[33m
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388ef554-e3e7-4410-89ac-d6ad4aeaec6c | clf = lgb.LGBMClassifier() | [0;31m---------------------------------------------------------------------------[0m
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File [0;32m<ipython-input-1-e597d21fc49d>:1[0m
[0;32m----> 1[0m clf [38;5;241m=[39m [43mlgb[49m[38;5;241m.[39mLGBMClassifier()
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388ef554-e3e7-4410-89ac-d6ad4aeaec6c | clf = lgb.LGBMClassifier() | [0;31m---------------------------------------------------------------------------[0m
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File [0;32m<ipython-input-1-e597d21fc49d>:1[0m
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388ef554-e3e7-4410-89ac-d6ad4aeaec6c | clf.train(train[['cell_type', 'cell_number', 'execution_count',
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File [0;32m<ipython-input-1-a2c2fc20951a>:1[0m
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[0;31mNameError[0m: name 'clf' is not defined
Error: name 'clf' is not defined
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388ef554-e3e7-4410-89ac-d6ad4aeaec6c | clf = lgb.LGBMClassifier() | [0;31m---------------------------------------------------------------------------[0m
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File [0;32m<ipython-input-1-e597d21fc49d>:1[0m
[0;32m----> 1[0m clf [38;5;241m=[39m [43mlgb[49m[38;5;241m.[39mLGBMClassifier()
[0;31mNameError[0m: name 'lgb' is not defined
Error: name 'lgb' is not defined
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} | 96c552c3b7573959e01aec29fbe42454 |
388ef554-e3e7-4410-89ac-d6ad4aeaec6c | import pandas as pd
import lightgbm as lgb
from sklearn.model_selection import train_test_split
features_path = 'data/task2/'
test_features = pd.read_pickle(features_path+'test_features.pkl')
train_features = pd.read_pickle(features_path+'train_features.pkl')
validation_features = pd.read_pickle(features_path+'validation_features.pkl')
train_features.index = range(train_features.shape[0])
validation_features.index = range(validation_features.shape[0])
test_features.index = range(test_features.shape[0])
train_features.fillna(0, inplace=True)
test_features.fillna(0, inplace=True)
validation_features.fillna(0,inplace=True)
print(train_features.shape)
print(validation_features.shape)
print(test_features.shape) | (5833, 32)
(1927, 32)
(1918, 21)
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} | a5ad4ad81a2dd9aa089b97b772ff2a89 |
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388ef554-e3e7-4410-89ac-d6ad4aeaec6c | clf.train(train[['cell_type', 'cell_number', 'execution_count',
'linesofcomment', 'linesofcode', 'variable_count', 'function_count']]) | [0;31m---------------------------------------------------------------------------[0m
[0;31mAttributeError[0m Traceback (most recent call last)
File [0;32m<ipython-input-1-a2c2fc20951a>:1[0m
[0;32m----> 1[0m [43mclf[49m[38;5;241;43m.[39;49m[43mtrain[49m(train[[[38;5;124m'[39m[38;5;124mcell_type[39m[38;5;124m'[39m, [38;5;124m'[39m[38;5;124mcell_number[39m[38;5;124m'[39m, [38;5;124m'[39m[38;5;124mexecution_count[39m[38;5;124m'[39m,
[1;32m 2[0m [38;5;124m'[39m[38;5;124mlinesofcomment[39m[38;5;124m'[39m, [38;5;124m'[39m[38;5;124mlinesofcode[39m[38;5;124m'[39m, [38;5;124m'[39m[38;5;124mvariable_count[39m[38;5;124m'[39m, [38;5;124m'[39m[38;5;124mfunction_count[39m[38;5;124m'[39m]])
[0;31mAttributeError[0m: 'LGBMClassifier' object has no attribute 'train'
Error: 'LGBMClassifier' object has no attribute 'train'
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