src.dackar.anomalies.MatrixProfile¶

Attributes¶

`logger`
`DASK_CLIENT_AVAIL`
`DASK_CLIENT_AVAIL`

Classes¶

MatrixProfile

_summary_

Module Contents¶

src.dackar.anomalies.MatrixProfile.logger[source]¶

src.dackar.anomalies.MatrixProfile.DASK_CLIENT_AVAIL = False[source]¶

src.dackar.anomalies.MatrixProfile.DASK_CLIENT_AVAIL = True[source]¶

class src.dackar.anomalies.MatrixProfile.MatrixProfile(m, normalize='robust', method='normal', kdp=False, approx_percentage=0.1, sub_sequence_normalize=False, excl_zone_denom=4)[source]¶

Bases: src.dackar.anomalies.AnomalyBase.AnomalyBase

_summary_

Parameters:: AnomalyBase (_type_) – _description_

_m[source]¶

_norm = 'robust'[source]¶

_sub_norm = False[source]¶

_mp[source]¶

_avail_method = ['normal', 'parallel', 'approx', 'incremental', 'gpu'][source]¶

_method = ''[source]¶

_scrump_percentage = 0.1[source]¶

_current_idx = [][source]¶

_norm_plot = True[source]¶

_compute_kdp = False[source]¶

_kdp[source]¶

_fit(X, y=None)[source]¶

perform fitting

Parameters:

X (pandas.DataFrame) – (n_time_steps, n_features)
y (pandas.DataFrame, optional) – ignored, (n_time_steps, n_features). Defaults to None.

_compute_mp(X_, y_=None)[source]¶

compute matrix profile

Parameters:

X (pandas.DataFrame) – (n_time_steps, n_features)
y (pandas.DataFrame, optional) – ignored, (n_time_steps, n_features). Defaults to None.

_evaluate(X)[source]¶

perform evaluation

Parameters:: X (pandas.DataFrame) – (n_time_steps, n_features)

plot()[source]¶: plot data

plot_kdp()[source]¶: plot data

get_mp()[source]¶: get matrix profile value

get_mp_index()[source]¶: get matrix profile index

get_mp_left_index()[source]¶: get left matrix profile index

get_mp_right_index()[source]¶: get right matrix profile index