試過(guò)了：#Generate dataimport pandas as pd import numpy as npdf = pd.DataFrame(np.random.randn(100, 5), columns=['a', 'b', 'c', 'd', 'e'])df["y"] = (df['a'] > 0.5).astype(int)df.head()from mleap.sklearn.ensemble.forest import RandomForestClassifierforestModel = RandomForestClassifier()forestModel.mlinit(input_features='a',                   feature_names='a',                           prediction_column='e_binary')forestModel.fit(df[['a']], df[['y']])forestModel.serialize_to_bundle("jar:file:/dbfs/FileStore/tables/mleaptestmodelforestpysparkzip", "randomforest.zip")我收到此錯(cuò)誤：No such file or directory: 'jar:file:/dbfs/FileStore/tables/mleaptestmodelforestpysparkzip/randomforest.zip.node'我也試過(guò)了：forestModel.serialize_to_bundle("jar:file:/dbfs/FileStore/tables/mleaptestmodelforestpysparkzip/randomforest.zip")并收到一條錯(cuò)誤消息，指出缺少“model_name”屬性。請(qǐng)問(wèn)你能幫幫我嗎？我添加了我嘗試做的所有事情以及我得到的結(jié)果：管道到 Zip：1.pipeline.serialize_to_bundle("jar:file:/dbfs/FileStore/tables/mleap/pipeline_zip/1/model.zip", model_name="forest")=> FileNotFoundError: [Errno 2] 沒有這樣的文件或目錄：'jar:file:/dbfs/FileStore/tables/mleap/pipeline_zip/1/model.zip/model.json'2.pipeline.serialize_to_bundle("jar:file:/dbfs/FileStore/tables/mleap/pipeline_zip/1/model.zip", model_name="forest", init=True)FileNotFoundError: [Errno 2] 沒有這樣的文件或目錄：'jar:file:/dbfs/FileStore/tables/mleap/pipeline_zip/1/model.zip/forest'要壓縮的模型forest.serialize_to_bundle("jar:file:/dbfs/FileStore/tables/mleap/random_forest_zip/1/model.zip", model_name="forest")=> FileNotFoundError: [Errno 2] 沒有這樣的文件或目錄：'jar:file:/dbfs/FileStore/tables/mleap/random_forest_zip/1/model.zip/forest.node'forest.serialize_to_bundle("jar:file:/dbfs/FileStore/tables/mleap/random_forest_zip/1", model_name="model.zip")=> FileNotFoundError: [Errno 2] 沒有這樣的文件或目錄：'jar:file:/dbfs/FileStore/tables/mleap/random_forest_zip/1/model.zip.node'forest.serialize_to_bundle("/dbfs/FileStore/tables/mleap/random_forest_zip/1", model_name="model.zip")=> 不要保存 zip。而是保存一個(gè)包。