tfl.premade_lib.compute_keypoints
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Calculates keypoints for the given set of values.
tfl.premade_lib.compute_keypoints(
values,
num_keypoints,
keypoints='quantiles',
clip_min=None,
clip_max=None,
default_value=None,
weights=None,
weight_reduction='mean',
feature_name=''
)
Args |
values
|
Values to use for quantile calculation.
|
num_keypoints
|
Number of keypoints to compute.
|
keypoints
|
String 'quantiles' or 'uniform' .
|
clip_min
|
Input values are lower clipped by this value.
|
clip_max
|
Input values are upper clipped by this value.
|
default_value
|
If provided, occurances will be removed from values.
|
weights
|
Weights to be used for quantile calculation.
|
weight_reduction
|
Reduction applied to weights for repeated values. Must be
either 'mean' or 'sum'.
|
feature_name
|
Name to use for error logs.
|
Returns |
A list of keypoints of num_keypoints length.
|
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Last updated 2024-08-02 UTC.
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"id": "missingTheInformationINeed",
"label":"Missing the information I need"
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"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
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"label":"Samples / code issue"
},{
"type": "thumb-down",
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"label":"Other"
}]
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},{
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"id": "solvedMyProblem",
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},{
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"id": "otherUp",
"label":"Other"
}]
{"lastModified": "Last updated 2024-08-02 UTC."}
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