microsoft/LightGBMPublic NotificationsYou must be signed in to change notification settings Fork3.8k Star16.6k Files master .ci .github R-package cmake docker docs examples external_libs include python-package lightgbm __init__.py basic.py
lightning_logger.debug(f'Metric{self.__class__.__name__}is using Sklearn as backend, meaning that'' every metric call will cause a GPU synchronization, which may slow down your code') 开发者ID:PyTorchLightning,项目名称:pytorch-lightning,代码行数:27,代码来源:sklearns.py 示例13: analyze ...
'data', the data to learn, 'target', the classification labels, 'target_names', the meaning of the labels, 'feature_names', the meaning of the features, and 'DESCR', the full description of the dataset. (data, target) : tuple if ``return_X_y`` is True .. versionadded:: 0.18 E...
iris=datasets.load_iris()print(iris) 这是sklearn所提供的数据集,后文会分析它们是如何被加载的。此处,我们得到了iris的数据。 iris数据集分析 代码语言:javascript 复制 {'target':array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,...
For various reasons, many real world datasets contain missing values, often encoded as blanks, NaNs or other placeholders. Such datasets however are incompatible with scikit-learn estimators which assume that all values in an array are numerical, and that all have and hold meaning. A basic strat...
ValueError: Parameter n_jobs == 0 has no meaning. """ if n_jobs < 0: return max(cpu_count() + 1 + n_jobs, 1) elif n_jobs == 0: raise ValueError('Parameter n_jobs == 0 has no meaning.') else: return n_jobs def _partition_estimators(n_estimators, n_jobs): """Private ...
acombiningformmeaning“somethingwritten,drawn, orplotted” (diagram;epigram); “awritten ordrawnsymbol orsequence ofsymbols” (ideogram;pentagram); “amessage” (telegram);“animage orgraphicrecordmade by aninstrument or aspart of adiagnosticprocedure” (electrocardiogram).Compare-graph. ...
This is mainly because PyTorch allows for dynamic computational graphs (meaning that you can change the network architecture during running time, which is quite useful for certain neural network architectures) and it's very easy to learn (building ML models is actually very intuitive, as we will...
are typically lower than they should be, meaning that the tests reject the null too readily. /home/leo/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:3: UserWarning: KNOWN BUG: p-values computed in this summary are likely much smaller than they should be. ...
var_label = [variable_labels[i] for i in variable_labels] df_labels = pd.DataFrame({"variable": var,"variable_label": var_label})# we use DataFrame to see the formated table of variable labels Then, we can see variables meaning each, and the labels include: Total votes of remain/lea...