Google Cloud Machine Learning引擎进行预测时，在何处放置"input.json文件"?

问题描述

我正在使用Google Cloud ML Engine通过运行进行本地预测:

I am using Google Cloud ML Engine to do local prediction by run:

gcloud ml-engine local predict --model-dir=$MODEL_DIR --json-instances $INPUT_FILE --framework $FRAMEWORK

假设:

MODEL_DIR="gs://<bucket>/model.joblib"
FRAMEWORK="SCIKIT_LEARN"

输入文件 input.json 位于硬键(d:\ predict)

input file input.json is in hardisk (d:\predict)

如何指定: INPUT_FILE = ?

我已将输入文件手动上传到我的gc存储桶中，但出现错误:

I have manually upload the input file into my gc bucket, but get error:

ERROR: (gcloud.ml-engine.local.predict) Unable to read file [gs://<bucket>/input.json]: [Errno 2] No such file or directory: 'gs://<bucket>/input.json

我应该在哪里放置输入文件?

Where shall I place the input file?

我应将其保留在本地磁盘(例如 d:\ predit \ input.json )还是存储区中?

shall I keep it as in local disk (e.g. d:\predit\input.json) or in bucket?

这是什么格式?

推荐答案

您将 MODEL_DIR 设置为错误，无需添加"model.joblib"，因为它将被自动检测到. MODEL_DIR 应该包含文件"model.joblib"所在的路径(如有必要，还包括文件夹).作为一个好习惯，通常有一个装有水桶的水桶.该命令(针对您的情况)应如下所示:

You are setting the MODEL_DIR wrong, there is no need of adding "model.joblib" as it will be detected automatically. MODEL_DIR should contain the path (including folders if necessary) where the file "model.joblib" is. As good practise, it's common to have a bucket containing it. The command (for your case) should go like this :

  MODEL_DIR="gs://<bucket>/"
  INPUT_FILE="input.json"
  FRAMEWORK="SCIKIT_LEARN"

，并且您的存储桶中应包含"model.joblib".对于 INPUT_FILE ，它应包含路径"input.json"是运行命令的起始位置，以及".json"本身(即，如果".json"位于其他文件夹下， INPUT_FILE 应该为< folder>/input.json").

and your bucket should contain "model.joblib". For INPUT_FILE, it should contain the path where "input.json" is FROM where you are running the command and the ".json" itself (i.e, if the ".json" it's under other folder, INPUT_FILE should be "< folder>/input.json").

以下是测试模型的文档 [1] .

Here is the documentation for testing models [1].

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