我正在尝试使用tsfresh软件包和extract_features()
函数提取功能。
tsfresh版本:0.4.0.post0.dev1 + ng19fa136
但是,出现以下错误:
AttributeError:类型对象'MinimalFeatureExtractionSettings'没有属性'n_processes'
代码:
import numpy as np
import pandas as pd
column_names = ['time_series1', 'time_series2','time_series3']
ts = np.random.rand(6,3)
df_to_extract = pd.DataFrame(data=ts, columns = column_names)
df_to_extract['id'] = 1
df_to_extract['time'] = np.arange(1,7)
#print(df_to_extract)
import tsfresh
from tsfresh import extract_features
from tsfresh import select_features
from tsfresh.utilities.dataframe_functions import impute
from tsfresh import extract_relevant_features
from tsfresh.feature_extraction import extract_features, MinimalFeatureExtractionSettings
from tsfresh.feature_extraction.settings import *
from tsfresh.feature_extraction.settings import FeatureExtractionSettings
import tsfresh.feature_extraction.settings
from tsfresh import utilities
from tsfresh import feature_extraction
extracted_features = extract_features(df_to_extract,
column_id="id",
column_sort="time",
parallelization= 'per_kind',
feature_extraction_settings= MinimalFeatureExtractionSettings)
包源代码:https://github.com/blue-yonder/tsfresh/blob/master/tsfresh/feature_extraction/extraction.py
我在Win10上使用Python 3.5(Anaconda)。
我想这可能是某种导入错误。如何解决这个问题?
要使其起作用,请添加:
settings= MinimalFeatureExtractionSettings()
extracted_features = extract_features(df_to_extract,
column_id="id",
column_sort="time",
parallelization= 'per_kind',
feature_extraction_settings= settings)
不再有MinimalFeatureExtractionSettings对象。现在称为MinimalFCParameters。因此,您将必须编写以下代码:
from tsfresh.feature_extraction import extract_features, MinimalFCParameters
...
minimalFCParametersForTsFresh = MinimalFCParameters()
extracted_features = extract_features(df_to_extract,column_id="id",default_fc_parameters = minimalFCParametersForTsFresh)