Pycaret classification.compare_models 不显示结果网格

Question

从 pycaret 的文档和教程中，我希望 classification.compare_models() 函数能够 return 网格，例如...

	Model	Accuracy	AUC	Recall	Prec.	F1	Kappa	MCC	TT (Sec)
0	Naive Bayes	0.9567	0.0000	0.9556	0.9619	0.9561	0.9348	0.9378	0.0076
1	K Neighbors Classifier	0.9467	0.0000	0.9444	0.9633	0.9430	0.9197	0.9295	0.0077
2	Extreme Gradient Boosting	0.9467	0.0000	0.9444	0.9633	0.9430	0.9197	0.9295	0.0521
	etc.

我的代码

from pycaret.classification import *
import pandas as pd

df = pd.read_csv('input.csv')
setup_result = setup(data=df, target='Class')
best = compare_models()
print(best)

我得到很多这样的输出...

Initiated  . . . . . . . . . . . . . . . . . .              11:35:34
Status     . . . . . . . . . . . . . . . . . .  Loading Dependencies
Estimator  . . . . . . . . . . . . . . . . . .     Compiling Library
Empty DataFrame
Columns: [Model, Accuracy, AUC, Recall, Prec., F1, Kappa, MCC, TT (Sec)]
Index: []                                                     
                                                                 
Initiated  . . . . . . . . . . . . . . . . . .           11:35:34
Status     . . . . . . . . . . . . . . . . . .  Loading Estimator
Estimator  . . . . . . . . . . . . . . . . . .  Compiling Library
                                                                 
                                                                 
Initiated  . . . . . . . . . . . . . . . . . .           11:35:34
Status     . . . . . . . . . . . . . . . . . .  Loading Estimator
Estimator  . . . . . . . . . . . . . . . . . .  Compiling Library

最后这个...

Initiated                         11:35:34  
Status              Compiling Final Models  
Estimator  Light Gradient Boosting Machine  

<pandas.io.formats.style.Styler object at 0x000002562E9A6B20>
LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,
               device='gpu', importance_type='split', learning_rate=0.1,
               max_depth=-1, min_child_samples=20, min_child_weight=0.001,
               min_split_gain=0.0, n_estimators=100, n_jobs=-1, num_leaves=31,
               objective=None, random_state=123, reg_alpha=0.0, reg_lambda=0.0,
               silent='warn', subsample=1.0, subsample_for_bin=200000,
               subsample_freq=0)

但我从来没有得到我希望的网格。我是运行 Python 3.8，Anaconda 在 Git Bash Windows.

Answer 1

在进一步的研究中，我发现 IPython 网格需要支持才能打印 - 它不会在控制台文本中打印，

我通过运行 jupyter notebook 会话中的代码得到了我正在寻找的输出。

Answer 2

您可以尝试在 best = compare_models()

之后立即执行此操作

best = compare_models()

# Get you the results in a pandas dataframe (results object)
results = pull()

Pycaret classification.compare_models 不显示结果网格

Pycaret classification.compare_models does not display results grid

python

pycaret