title: Model output folder in sagemaker
body: <p>I am trying to run a training job using sagemaker sdk.
  I set the <code>base_job_name</code> as <code>base-job-name</code> and model_dir as <code>s3://my-bucket/model-output/</code>,  The trained model, however, is at <code>s3://my-bucket/model-output/base-job-name-2020-10-12-21-30-42-748/output</code>.
  Can I do something to remove the date-time part from the <code>base-job-name</code> folder? It is perfectly fine to overwrite files as a result.
  I couldn't seem to locate any property in the documentation which can help me set this.
  This is how I am creating the estimator</p>
  <pre class="lang-py prettyprint-override"><code>estimator = TensorFlow(
      base_job_name='base-job-name',
      entry_point='model.py',
      source_dir=source_dir,
      output_path='s3://my-bucket/model-output/',
      model_dir='s3://my-bucket/model-output/',
      instance_type='ml.m5.large',
      instance_count=1,
      role=my_role,
      framework_version='2.2.0',
      py_version='py37',
      subnets=subnets,
      security_group_ids=security_group_ids,
      sagemaker_session=sagemaker_sess,
      tags=tags
  )
  </code></pre>