snowflake.ml.model.batch_inference.ColumnHandlingOptions¶
- class snowflake.ml.model.batch_inference.ColumnHandlingOptions¶
Bases:
TypedDictOptions for handling specific columns during run_batch for file I/O.
Methods
- clear()¶
Remove all items from the dict.
- copy()¶
Return a shallow copy of the dict.
- fromkeys(value=None, /)¶
Create a new dictionary with keys from iterable and values set to value.
- get(key, default=None, /)¶
Return the value for key if key is in the dictionary, else default.
- items()¶
Return a set-like object providing a view on the dict’s items.
- keys()¶
Return a set-like object providing a view on the dict’s keys.
- pop(k[, d]) v, remove specified key and return the corresponding value.¶
If the key is not found, return the default if given; otherwise, raise a KeyError.
- popitem()¶
Remove and return a (key, value) pair as a 2-tuple.
Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.
- setdefault(key, default=None, /)¶
Insert key with a value of default if key is not in the dictionary.
Return the value for key if key is in the dictionary, else default.
- update([E, ]**F) None. Update D from mapping/iterable E and F.¶
If E is present and has a .keys() method, then does: for k in E.keys(): D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
- values()¶
Return an object providing a view on the dict’s values.
Attributes
- input_format: InputFormat¶
- convert_to: FileEncoding¶