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In [1]:

    
import mlflow



In [3]:

    
dir(mlflow)









    Out[3]:





['ActiveRun',
 '__all__',
 '__builtins__',
 '__cached__',
 '__doc__',
 '__file__',
 '__loader__',
 '__name__',
 '__package__',
 '__path__',
 '__spec__',
 '__version__',
 '_configure_mlflow_loggers',
 'active_run',
 'create_experiment',
 'data',
 'delete_tag',
 'end_run',
 'entities',
 'exceptions',
 'get_artifact_uri',
 'get_tracking_uri',
 'log_artifact',
 'log_artifacts',
 'log_metric',
 'log_metrics',
 'log_param',
 'log_params',
 'mlflow',
 'projects',
 'protos',
 'run',
 'search_runs',
 'set_experiment',
 'set_tag',
 'set_tags',
 'set_tracking_uri',
 'start_run',
 'store',
 'tracking',
 'utils',
 'version',
 'warnings']



In [4]:

    
mlflow.search_runs()









    Out[4]:







  
    
      
      run_id
      experiment_id
      status
      artifact_uri



In [10]:

    
!ls mlruns/5









    



420060ecb9714fa987007895c3cea5de a4bde268b866403b85b2de0a46608617
7f9eb23777644af58559e2c51ad69d7a meta.yaml



In [13]:

    
mlflow.search_runs('5')









    Out[13]:







  
    
      
      run_id
      experiment_id
      status
      artifact_uri
      metrics.time_total_s
      metrics.val_loss
      metrics.train_acc
      metrics.sparse_level_l2
      metrics.time_this_iter_s
      metrics.sparse_level_l1
      ...
      params.debug_sparse
      params.batch_size_test
      params.num_classes
      params.data_dir
      params.network
      params.batch_size_train
      params.dataset_name
      params.input_size
      params.model
      params.mlflow_experiment_id
    
  
  
    
      0
      420060ecb9714fa987007895c3cea5de
      5
      FINISHED
      file:///Users/lsouza/nta/nupic.research/projec...
      161.146089
      2.325689
      0.10135
      0.2
      32.302321
      0.2
      ...
      True
      10
      10
      ~/nta/data
      MLPHeb
      10
      MNIST
      784
      SparseModel
      5
    
    
      1
      a4bde268b866403b85b2de0a46608617
      5
      FINISHED
      file:///Users/lsouza/nta/nupic.research/projec...
      160.076837
      2.321328
      0.10420
      0.2
      32.735992
      0.2
      ...
      True
      10
      10
      ~/nta/data
      MLPHeb
      10
      MNIST
      784
      SparseModel
      5
    
    
      2
      7f9eb23777644af58559e2c51ad69d7a
      5
      FINISHED
      file:///Users/lsouza/nta/nupic.research/projec...
      159.812787
      2.333451
      0.10240
      0.2
      32.459651
      0.2
      ...
      True
      10
      10
      ~/nta/data
      MLPHeb
      10
      MNIST
      784
      SparseModel
      5
    
  

3 rows × 27 columns



In [14]:

    
dir(mlflow)









    Out[14]:





['ActiveRun',
 '__all__',
 '__builtins__',
 '__cached__',
 '__doc__',
 '__file__',
 '__loader__',
 '__name__',
 '__package__',
 '__path__',
 '__spec__',
 '__version__',
 '_configure_mlflow_loggers',
 'active_run',
 'create_experiment',
 'data',
 'delete_tag',
 'end_run',
 'entities',
 'exceptions',
 'get_artifact_uri',
 'get_tracking_uri',
 'log_artifact',
 'log_artifacts',
 'log_metric',
 'log_metrics',
 'log_param',
 'log_params',
 'mlflow',
 'projects',
 'protos',
 'run',
 'search_runs',
 'set_experiment',
 'set_tag',
 'set_tags',
 'set_tracking_uri',
 'start_run',
 'store',
 'tracking',
 'utils',
 'version',
 'warnings']



In [15]:

    
dir(mlflow.tracking)









    Out[15]:





['MlflowClient',
 '_EXPERIMENT_ID_ENV_VAR',
 '_EXPERIMENT_NAME_ENV_VAR',
 '_RUN_ID_ENV_VAR',
 '_TRACKING_URI_ENV_VAR',
 '__all__',
 '__builtins__',
 '__cached__',
 '__doc__',
 '__file__',
 '__loader__',
 '__name__',
 '__package__',
 '__path__',
 '__spec__',
 '_get_store',
 'artifact_utils',
 'client',
 'context',
 'fluent',
 'get_tracking_uri',
 'registry',
 'set_tracking_uri',
 'utils']



In [ ]:

	run_id	experiment_id	status	artifact_uri	metrics.time_total_s	metrics.val_loss	metrics.train_acc	metrics.sparse_level_l2	metrics.time_this_iter_s	metrics.sparse_level_l1	...	params.debug_sparse	params.batch_size_test	params.num_classes	params.data_dir	params.network	params.batch_size_train	params.dataset_name	params.input_size	params.model	params.mlflow_experiment_id
0	420060ecb9714fa987007895c3cea5de	5	FINISHED	file:///Users/lsouza/nta/nupic.research/projec...	161.146089	2.325689	0.10135	0.2	32.302321	0.2	...	True	10	10	~/nta/data	MLPHeb	10	MNIST	784	SparseModel	5
1	a4bde268b866403b85b2de0a46608617	5	FINISHED	file:///Users/lsouza/nta/nupic.research/projec...	160.076837	2.321328	0.10420	0.2	32.735992	0.2	...	True	10	10	~/nta/data	MLPHeb	10	MNIST	784	SparseModel	5
2	7f9eb23777644af58559e2c51ad69d7a	5	FINISHED	file:///Users/lsouza/nta/nupic.research/projec...	159.812787	2.333451	0.10240	0.2	32.459651	0.2	...	True	10	10	~/nta/data	MLPHeb	10	MNIST	784	SparseModel	5