Examples
Brief Overview - How to use the MVG library
Check Version
Sources and Measurements Example
Analysis and Results Visualization
Analysis Classes - Unified Interface to Analysis Results
Working with Tabular Data
Labeling of Measurements and Label Propagation
Model Inference for New Data
Error Handling Example
Features
Using MVG features
KPI Demo
Automatic Mode Identification (ModeID)
Population Based Anomaly Detection (BlackSheep)
Label Propagation
Advanced usage
Callback on Analysis Completion
API Reference
MutliViz Analytics Engine
MutliViz Analysis Classes
MultiViz Analytics Engine Library
Index
Index
A
|
B
|
C
|
D
|
F
|
G
|
I
|
K
|
L
|
M
|
P
|
R
|
S
|
T
|
U
|
W
A
Analysis (class in mvg.features.analysis)
B
BlackSheep (class in mvg.features.blacksheep)
C
check_status() (mvg.features.analysis.Analysis method)
check_version() (mvg.mvg.MVGAPI method)
create_label() (mvg.mvg.MVGAPI method)
create_measurement() (mvg.mvg.MVGAPI method)
create_source() (mvg.mvg.MVGAPI method)
create_spectrum_measurement() (mvg.mvg.MVGAPI method)
create_spectrum_source() (mvg.mvg.MVGAPI method)
create_tabular_measurement() (mvg.mvg.MVGAPI method)
create_tabular_source() (mvg.mvg.MVGAPI method)
D
delete_analysis() (mvg.mvg.MVGAPI method)
delete_label() (mvg.mvg.MVGAPI method)
delete_measurement() (mvg.mvg.MVGAPI method)
delete_source() (mvg.mvg.MVGAPI method)
F
feature() (mvg.features.analysis.Analysis method)
G
get_analysis_info() (mvg.mvg.MVGAPI method)
get_analysis_results() (mvg.mvg.MVGAPI method)
get_analysis_status() (mvg.mvg.MVGAPI method)
get_endpoint() (mvg.mvg.MVGAPI method)
get_label() (mvg.mvg.MVGAPI method)
get_source() (mvg.mvg.MVGAPI method)
get_token() (mvg.mvg.MVGAPI method)
I
inputs() (mvg.features.analysis.Analysis method)
K
KPIDemo (class in mvg.features.kpidemo)
L
list_analyses() (mvg.mvg.MVGAPI method)
list_labels() (mvg.mvg.MVGAPI method)
list_measurements() (mvg.mvg.MVGAPI method)
list_sources() (mvg.mvg.MVGAPI method)
list_tabular_downsampled_measurements() (mvg.mvg.MVGAPI method)
list_tabular_measurements() (mvg.mvg.MVGAPI method)
list_timestamps() (mvg.mvg.MVGAPI method)
M
mode_table() (mvg.features.modeid.ModeId method)
ModeId (class in mvg.features.modeid)
module
mvg.analysis_classes
mvg.features.analysis
mvg.features.blacksheep
mvg.features.kpidemo
mvg.features.modeid
mvg.mvg
MVG (class in mvg.mvg)
mvg.analysis_classes
module
mvg.features.analysis
module
mvg.features.blacksheep
module
mvg.features.kpidemo
module
mvg.features.modeid
module
mvg.mvg
module
MVGAPI (class in mvg.mvg)
P
parse_results() (in module mvg.analysis_classes)
parse_version() (mvg.mvg.MVGAPI static method)
plot() (mvg.features.analysis.Analysis method)
(mvg.features.blacksheep.BlackSheep method)
(mvg.features.kpidemo.KPIDemo method)
(mvg.features.modeid.ModeId method)
plot_probabilities() (mvg.features.modeid.ModeId method)
R
raw_results() (mvg.features.analysis.Analysis method)
read_single_measurement() (mvg.mvg.MVGAPI method)
request_analysis() (mvg.mvg.MVGAPI method)
request_id() (mvg.features.analysis.Analysis method)
request_population_analysis() (mvg.mvg.MVGAPI method)
results() (mvg.features.analysis.Analysis method)
S
save_df() (mvg.features.analysis.Analysis method)
save_json() (mvg.features.analysis.Analysis method)
save_pkl() (mvg.features.analysis.Analysis method)
say_hello() (mvg.mvg.MVGAPI method)
sources() (mvg.features.analysis.Analysis method)
status() (mvg.features.analysis.Analysis method)
summary() (mvg.features.analysis.Analysis method)
(mvg.features.blacksheep.BlackSheep method)
(mvg.features.kpidemo.KPIDemo method)
(mvg.features.modeid.ModeId method)
supported_features() (mvg.mvg.MVGAPI method)
T
to_df() (mvg.features.analysis.Analysis method)
U
unfold_result_to_df() (in module mvg.features.kpidemo)
update_label() (mvg.mvg.MVGAPI method)
update_measurement() (mvg.mvg.MVGAPI method)
update_source() (mvg.mvg.MVGAPI method)
W
wait_for_analyses() (mvg.mvg.MVG method)