ConsoleBuffer"对象没有属性"isatty"

问题描述

我正在使用databricks社区版上的sparkdl进行图像分类.我添加了所有的图书馆.我已经使用图像数据创建了数据框.

I'm doing image classification using sparkdl on databricks community edition.I added all the library's.i have created data-frame using the image data.

from pyspark.ml.classification import LogisticRegression
from pyspark.ml import Pipeline
from sparkdl import DeepImageFeaturizer 

featurizer = DeepImageFeaturizer(inputCol="image", outputCol="features", modelName="InceptionV3")
lr = LogisticRegression(maxIter=20, regParam=0.05, elasticNetParam=0.3, labelCol="label")
p = Pipeline(stages=[featurizer, lr])

p_model = p.fit(train_df)   




    AttributeError                            Traceback (most recent call last)
<command-2468766328144961> in <module>()
      7 p = Pipeline(stages=[featurizer, lr])
      8 
----> 9 p_model = p.fit(train_df)

/databricks/spark/python/pyspark/ml/base.py in fit(self, dataset, params)
     62                 return self.copy(params)._fit(dataset)
     63             else:
---> 64                 return self._fit(dataset)
     65         else:
     66             raise ValueError("Params must be either a param map or a list/tuple of param maps, "

/databricks/spark/python/pyspark/ml/pipeline.py in _fit(self, dataset)
    104                 if isinstance(stage, Transformer):
    105                     transformers.append(stage)
--> 106                     dataset = stage.transform(dataset)
    107                 else:  # must be an Estimator
    108                     model = stage.fit(dataset)

推荐答案

从您的问题的标题开始，听起来您好像遇到了 AttributeError:'ConsoleBuffer'对象没有属性'isatty' Databricks Python笔记本中的错误.

From the title of your question, it sounds like you're hitting a AttributeError: 'ConsoleBuffer' object has no attribute 'isatty' error in a Databricks Python notebook.

如果您使用的是 Databricks Runtime 3.3 或更高版本，错误应该得到解决.

If you are using Databricks Runtime 3.3 or later then this bug should be fixed.

在较早的Databricks Runtime版本中，您应该能够通过在Python笔记本的开头运行以下代码段来猴子修补 sys.stdout 来解决此问题:

In earlier Databricks Runtime releases, you should be able to work around this problem by monkeypatching sys.stdout by running the following code snippet at the beginning of your Python notebook:

import sys

sys.stdout.isatty = lambda: False
sys.stdout.encoding = sys.getdefaultencoding()

Databricks的Python REPL覆盖了 sys.stdout 以使用我们自己的 ConsoleBuffer 类，并且在Databricks Runtime 3.3之前，该类未实现 isatty 和 encoding 方法.

Databricks' Python REPL overrides sys.stdout to use our own ConsoleBuffer class and prior to Databricks Runtime 3.3 this class did not implement the isatty and encoding methods.

来源:我是一位Databricks员工，致力于此错误修复.

Source: I'm a Databricks employee who worked on this bugfix.

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