Welcome to usage karma_analytics’s documentation!

karma_analysis.compare_models(data: dict) → tuple

compare_models _summary_

Compare the differents methods and returns the best model

Parameters:: data (dict) – _description_
Returns:: _description_
Return type:: tuple

karma_analysis.convert(k: ndarray, f: ndarray) → ndarray

convert create probability

Parameters:

k (np.ndarray) – karma
f (np.ndarray) – feed

Returns:

proability

Return type:

np.ndarray

karma_analysis.fit(data: dict, func, p0=None) → ndarray

fit _summary_

_extended_summary_

Parameters:

data (dict) – _description_
func (_type_) – _description_
p0 (_type_, optional) – _description_, defaults to None

Returns:

_description_

Return type:

np.ndarray

karma_analysis.lin(x: ndarray, a: float, b: float) → ndarray

lin _summary_

Compute linear value from y=ax+b

Parameters:

x (np.ndarray) – _description_
a (float) – _description_
b (float) – _description_

Returns:

_description_

Return type:

np.ndarray

karma_analysis.plot(data: dict, params, func, name: str) → None

plot _summary_

Display the plot of the best model

Parameters:

data (dict) – _description_
params (_type_) – _description_
func (_type_) – _description_
name (str) – _description_

karma_analysis.quad(x: ndarray, a: float, b: float, c: float) → ndarray

quad _summary_

Compute quadratic value from y=ax2+bx+c

Parameters:

x (np.ndarray) – _description_
a (float) – _description_
b (float) – _description_
c (float) – _description_

Returns:

_description_

Return type:

np.ndarray

karma_analysis.readData(f: str) → dict

readData load filename

This function takes one file as input and reorder json content to reindex the final dictionary

Parameters:: f (str) – filename
Raises:: RuntimeError – json.JSONDecodeError
Returns:: data
Return type:: dict

karma_analysis.sin(x: ndarray, a: float, b: float, c: float, d: float) → ndarray

sin _summary_

Compute sinusoidal value from y=a*sin(bx+c)+d

Parameters:

x (np.ndarray) – _description_
a (float) – _description_
b (float) – _description_
c (float) – _description_
d (float) – _description_

Returns:

_description_

Return type:

np.ndarray