HTML Generator

SAES.html.html_generator.notebook_bayesian(data: str, metrics: str, metric: str, pivot: str, output_path: str) → None

This function creates a notebook that shows the statistical analysis of the data.

Args:

data (str):

The path to the data file.

metrics (str):

The path to the metrics file.

metric (str):

The metric to analyze.

pivot (str):

The pivot algorithm to analyze.

output_path (str):

The path to save the html.

Returns:

None

Example:

>>> from SAES.html.html_generator import notebook_bayesian
>>> import os
>>> 
>>> data = "data.csv"
>>> metrics = "metrics.csv"
>>> metric = "HV"
>>> pivot = "NSGAII"
>>> output_path = os.getcwd()
>>> notebook_bayesian(data, metrics, metric, pivot, output_path)

SAES.html.html_generator.notebook_fronts2D(data: str, metrics: str, metric: str, fronts: str, references: str, output_path: str) → None

This function creates a notebook that shows the statistical analysis of the data.

Args:

data (str):

The path to the data file.

metrics (str):

The path to the metrics file.

metric (str):

The metric to analyze.

fronts (str):

The path to the fronts file.

references (str):

The path to the references file.

output_path (str):

The path to save the html.

Returns:

None

Example:

>>> from SAES.html.html_generator import notebook_fronts2D
>>> import os
>>> 
>>> data = "data.csv"
>>> metrics = "metrics.csv"
>>> metric = "HV"
>>> fronts = "fronts"
>>> references = "references"
>>> output_path = os.getcwd()
>>> notebook_fronts2D(data, metrics, metric, fronts, references, output_path)

SAES.html.html_generator.notebook_fronts3D(data: str, metrics: str, metric: str, fronts: str, references: str, output_path: str) → None

This function creates a notebook that shows the statistical analysis of the data.

Args:

data (str):

The path to the data file.

metrics (str):

The path to the metrics file.

metric (str):

The metric to analyze.

fronts (str):

The path to the fronts file.

references (str):

The path to the references file.

output_path (str):

The path to save the html.

Returns:

None

Example:

>>> from SAES.html.html_generator import notebook_fronts3D
>>> import os
>>> 
>>> data = "data.csv"
>>> metrics = "metrics.csv"
>>> metric = "HV"
>>> fronts = "fronts"
>>> references = "references"
>>> output_path = os.getcwd()
>>> notebook_fronts3D(data, metrics, metric, fronts, references, output_path)

SAES.html.html_generator.notebook_frontsND(data: str, metrics: str, metric: str, fronts: str, references: str, dimensions: int, output_path: str) → None

This function creates a notebook that shows the statistical analysis of the data.

Args:

data (str):

The path to the data file.

metrics (str):

The path to the metrics file.

metric (str):

The metric to analyze.

fronts (str):

The path to the fronts file.

references (str):

The path to the references file.

dimensions (int):

The number of dimensions

output_path (str):

The path to save the html.

Returns:

None

Example:

>>> from SAES.html.html_generator import notebook_frontsND
>>> import os
>>> 
>>> data = "data.csv"
>>> metrics = "metrics.csv"
>>> metric = "HV"
>>> fronts = "fronts"
>>> references = "references"
>>> dimensions = 3
>>> output_path = os.getcwd()
>>> notebook_frontsND(data, metrics, metric, fronts, references, dimensions, output_path)

SAES.html.html_generator.notebook_no_fronts(data: str, metrics: str, metric: str, output_path: str) → None

This function creates a notebook that shows the statistical analysis of the data.

Args:

data (str):

The path to the data file.

metrics (str):

The path to the metrics file.

metric (str):

The metric to analyze.

output_path (str):

The path to save the html.

Returns:

None

Example:

>>> from SAES.html.html_generator import notebook_no_fronts
>>> import os
>>> 
>>> data = "data.csv"
>>> metrics = "metrics.csv"
>>> metric = "HV"
>>> output_path = os.getcwd()
>>> notebook_no_fronts(data, metrics, metric, output_path)