semvec/pypi-packages huggingface dataset:
daimensions-linux-python3.7 1.3.146
Brainome Table Compiler
License: BSD


Brainome Table Compiler (tm)  

One step machine learning model builder.

Examples:
Measure and build a random forest predictor for titanic
	btc https://download.brainome.ai/data/public/titanic_train.csv

Build a better predictor by ignoring columns:
	btc titanic_train.csv -ignorecolumns "PassengerId,Name" -target Survived

Automatically select the important columns by using ranking:
	btc titanic_train.csv -rank -target Survived

Build a neural network model with effort of 5:
	btc titanic_train.csv -f NN -e 5 -target Survived

Measure headerless dataset:
	btc https://download.brainome.ai/data/public/bank.csv -headerless -measureonly

Full documentation can be found at https://www.brainome.ai/documentation
daimensions-linux-python3.8 1.3.146
Brainome Table Compiler
License: BSD

Brainome Table Compiler (tm)  

One step machine learning model builder.

Examples:
Measure and build a random forest predictor for titanic
	btc https://download.brainome.ai/data/public/titanic_train.csv

Build a better predictor by ignoring columns:
	btc titanic_train.csv -ignorecolumns "PassengerId,Name" -target Survived

Automatically select the important columns by using ranking:
	btc titanic_train.csv -rank -target Survived

Build a neural network model with effort of 5:
	btc titanic_train.csv -f NN -e 5 -target Survived

Measure headerless dataset:
	btc https://download.brainome.ai/data/public/bank.csv -headerless -measureonly

Full documentation can be found at https://www.brainome.ai/documentation
daimensions-mac-python3.7 1.3.146
Brainome Table Compiler
License: BSD


Brainome Table Compiler (tm)  

One step machine learning model builder.

Examples:
Measure and build a random forest predictor for titanic
	btc https://download.brainome.ai/data/public/titanic_train.csv

Build a better predictor by ignoring columns:
	btc titanic_train.csv -ignorecolumns "PassengerId,Name" -target Survived

Automatically select the important columns by using ranking:
	btc titanic_train.csv -rank -target Survived

Build a neural network model with effort of 5:
	btc titanic_train.csv -f NN -e 5 -target Survived

Measure headerless dataset:
	btc https://download.brainome.ai/data/public/bank.csv -headerless -measureonly

Full documentation can be found at https://www.brainome.ai/documentation
daimensions-mac-python3.9 1.3.146
Brainome Table Compiler
License: BSD

Brainome Table Compiler (tm)  

One step machine learning model builder.

Examples:
Measure and build a random forest predictor for titanic
	btc https://download.brainome.ai/data/public/titanic_train.csv

Build a better predictor by ignoring columns:
	btc titanic_train.csv -ignorecolumns "PassengerId,Name" -target Survived

Automatically select the important columns by using ranking:
	btc titanic_train.csv -rank -target Survived

Build a neural network model with effort of 5:
	btc titanic_train.csv -f NN -e 5 -target Survived

Measure headerless dataset:
	btc https://download.brainome.ai/data/public/bank.csv -headerless -measureonly

Full documentation can be found at https://www.brainome.ai/documentation
daimensions-linux-python3.9 1.3.146
Brainome Table Compiler
License: BSD

Brainome Table Compiler (tm)  

One step machine learning model builder.

Examples:
Measure and build a random forest predictor for titanic
	btc https://download.brainome.ai/data/public/titanic_train.csv

Build a better predictor by ignoring columns:
	btc titanic_train.csv -ignorecolumns "PassengerId,Name" -target Survived

Automatically select the important columns by using ranking:
	btc titanic_train.csv -rank -target Survived

Build a neural network model with effort of 5:
	btc titanic_train.csv -f NN -e 5 -target Survived

Measure headerless dataset:
	btc https://download.brainome.ai/data/public/bank.csv -headerless -measureonly

Full documentation can be found at https://www.brainome.ai/documentation
daimensions-mac-python3.8 1.3.146
Brainome Table Compiler
License: BSD

Brainome Table Compiler (tm)  

One step machine learning model builder.

Examples:
Measure and build a random forest predictor for titanic
	btc https://download.brainome.ai/data/public/titanic_train.csv

Build a better predictor by ignoring columns:
	btc titanic_train.csv -ignorecolumns "PassengerId,Name" -target Survived

Automatically select the important columns by using ranking:
	btc titanic_train.csv -rank -target Survived

Build a neural network model with effort of 5:
	btc titanic_train.csv -f NN -e 5 -target Survived

Measure headerless dataset:
	btc https://download.brainome.ai/data/public/bank.csv -headerless -measureonly

Full documentation can be found at https://www.brainome.ai/documentation
daimensions 1.3.33
Brainome Table Compiler
License: BSD

Brainome Table Compiler (tm)  

One step machine learning model builder.

Examples:
Measure and build a random forest predictor for titanic
	btc https://download.brainome.ai/data/public/titanic_train.csv

Build a better predictor by ignoring columns:
	btc titanic_train.csv -ignorecolumns "PassengerId,Name" -target Survived

Automatically select the important columns by using ranking:
	btc titanic_train.csv -rank -target Survived

Build a neural network model with effort of 5:
	btc titanic_train.csv -f NN -e 5 -target Survived

Measure headerless dataset:
	btc https://download.brainome.ai/data/public/bank.csv -headerless -measureonly

Full documentation can be found at https://www.brainome.ai/documentation