Abstract class defines the interface for storing and loading of input data.
More...
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| def | loadData (self, name="train") |
| | Reads dataset from file as it is an abstract class, this function is not implemented! More...
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| def | loadSpecification (self) |
| | Loads attribute specification from file as it is an abstract class, this function is not implemented! More...
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| def | save (self, points, values=None, attributes=None) |
| | Store data into file as it is an abstract class, this function is not implemented! More...
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Abstract class defines the interface for storing and loading of input data.
◆ loadData()
| def python.data.DataAdapter.DataAdapter.loadData |
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self, |
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name = "train" |
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) |
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Reads dataset from file as it is an abstract class, this function is not implemented!
- Parameters
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| name | String for category of data set (train or test), default "train" |
- Returns
- DataContainer with data set
◆ loadSpecification()
| def python.data.DataAdapter.DataAdapter.loadSpecification |
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self | ) |
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Loads attribute specification from file as it is an abstract class, this function is not implemented!
- Returns
- dictionary with attribute specification
◆ save()
| def python.data.DataAdapter.DataAdapter.save |
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self, |
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points, |
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values = None, |
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attributes = None |
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) |
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Store data into file as it is an abstract class, this function is not implemented!
- Parameters
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| points | DataVector with points |
| values | DataVector with values, default None |
| attributes | dictionary with attributes of dataset, default None |
The documentation for this class was generated from the following file: