MACHINELEARNINGNET2 Telegram 478
Microsoft Finance Time Series Forecasting Framework

The Microsoft Finance Time Series Forecasting Framework, aka finnts or Finn, is an automated forecasting framework in R for producing financial forecasts. While it was built for corporate finance activities, it can easily expand to any time series forecasting problem!

*Automated feature engineering, feature selection, back testing, and model selection.

*Access to 25+ models. Both univariate and multivariate models.

*Azure integration to run thousands of time series in parallel within the cloud.

*Supports daily, weekly, monthly, quarterly, and yearly forecasts.

*Handles external regressors, either purely historical or historical+future values.

Github: https://microsoft.github.io/finnts



tgoop.com/machinelearningnet2/478
Create:
Last Update:

Microsoft Finance Time Series Forecasting Framework

The Microsoft Finance Time Series Forecasting Framework, aka finnts or Finn, is an automated forecasting framework in R for producing financial forecasts. While it was built for corporate finance activities, it can easily expand to any time series forecasting problem!

*Automated feature engineering, feature selection, back testing, and model selection.

*Access to 25+ models. Both univariate and multivariate models.

*Azure integration to run thousands of time series in parallel within the cloud.

*Supports daily, weekly, monthly, quarterly, and yearly forecasts.

*Handles external regressors, either purely historical or historical+future values.

Github: https://microsoft.github.io/finnts

BY @machinelearningnet




Share with your friend now:
tgoop.com/machinelearningnet2/478

View MORE
Open in Telegram


Telegram News

Date: |

Don’t publish new content at nighttime. Since not all users disable notifications for the night, you risk inadvertently disturbing them. Step-by-step tutorial on desktop: Write your hashtags in the language of your target audience. Among the requests, the Brazilian electoral Court wanted to know if they could obtain data on the origins of malicious content posted on the platform. According to the TSE, this would enable the authorities to track false content and identify the user responsible for publishing it in the first place. Select: Settings – Manage Channel – Administrators – Add administrator. From your list of subscribers, select the correct user. A new window will appear on the screen. Check the rights you’re willing to give to your administrator.
from us


Telegram @machinelearningnet
FROM American