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ETNA – Time-Series Library

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### 🚀 Feature Request As the authors of [statsforecast](https://github.com/Nixtla/statsforecast#maintenance-FedericoGarza) state their auto_arima is 20x faster than the version form pmdarima(which we currently use).There for it might be useful to add...

enhancement

### 🚀 Feature Request We decided that we want to enable passing context into `forecast` method of the model. For this we should for each model define its context size....

enhancement

### 🚀 Feature Request Experiments show that linear regression with positive coefficients shows better results comparing with no restrictions to the coefficients. So it is better to change the default...

enhancement
good first issue

## Before submitting (must do checklist) - [x] Did you read the [contribution guide](https://github.com/tinkoff-ai/etna/blob/master/CONTRIBUTING.md)? - [x] Did you update the docs? We use Numpy format for all the methods and...

### 🚀 Feature Request Add `MLPModel` model for etna deep model family ### Proposal * You can use [as ref](https://github.com/tinkoff-ai/etna/blob/master/etna/models/nn/rnn.py) ```python class MLPNet(DeepBaseNet): def __init__( self, input_size: int, hidden_size: List[int],...

enhancement

### 🚀 Feature Request Create metric, which counts the percent of times, when the entire metric was smaller that threshold. ### Proposal - In file `metrics/metric.py` create class: ``` class...

enhancement

### 🚀 Feature Request Create metric, which use the custom penalty for over- and under- forecasting. This might be useful when the over- and under- forecasting is harmful differently. ###...

enhancement

### 🚀 Feature Request Add method `predict` to pipelines. ### Motivation Introduce more flexible ways of forecasting to our architecture. ### Proposal This task is blocked by #783. Add a...

enhancement
experimental
important

### 🚀 Feature Request Create notebook about forecasting strategies in etna ### Proposal - Create notebook about the forecasting strategies in etna, it should contain examples with: 1. Pipeline 2....

notebook
important

### Preposition: We have multiple models and feature generators to use. We don't know what model or features to choose from. We have limited cpu and time resources. We have...

experimental