Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Unanswered
Let'S Say I Have A Project Call Proj1 To Store Datasets With Type "Data Process".. What Is The Best Practice To Get The Latest Datasets ? Example, I Start The First Data (A). Then Using Clearml-Data, I Add Another Dataset (B) As Child To The Previous On


Hi DeliciousBluewhale87 ,

You can just get a local copy of the dataset with ds.get_local_copy() , this will download the dataset from the dataset task (using cache) and return a path to the downloaded files.

Now, in this path you’ll have all the files that you have in the dataset, you can go over the files in the dataset with ds.list_files() (or ds.list_files()[0] if you have only 1 file) and get the one you want

maybe something like:

ds_path = ds.get_local_copy() iris_pickle_file_name = ds.list_files()[0] iris_pickle_path = os.path.join(ds_path, iris_pickle_file_name)Can this do the trick?

  
  
Posted 3 years ago
107 Views
0 Answers
3 years ago
one year ago