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---
library_name: keras
tags:
- time series
---

## Model description
Demonstrates how to do timeseries forecasting using a [LSTM model.](https://keras.io/api/layers/recurrent_layers/lstm/)


## Climate Data Time-Series

We will be using Jena Climate dataset recorded by the Max Planck Institute for Biogeochemistry. The dataset consists of 14 features such as temperature, pressure, humidity etc, recorded once per 10 minutes.

Location: Weather Station, [Max Planck Institute for Biogeochemistry](https://www.bgc-jena.mpg.de/wetter/) in Jena, Germany.

Time-frame Considered: Jan 10, 2009 - December 31, 2016

The table below shows the column names, their value formats, and their description.

| Index | Features        | Format              | Description                                                                                                                                                                                                          | Selected Features |
|-------|-----------------|---------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------|
| 1     | Date Time       | 01.01.2009 00:10:00 | Date-time reference                                                                                                                                                                                                  |                   |
| 2     | p (mbar)        | 996.52              | The pascal SI derived unit of pressure used to quantify internal  pressure. Meteorological reports typically state atmospheric pressure in  millibars.                                                               | +                 |
| 3     | T (degC)        | -8.02               | Temperature in Celsius                                                                                                                                                                                               | +                 |
| 4     | Tpot (K)        | 265.4               | Temperature in Kelvin                                                                                                                                                                                                | -                 |
| 5     | Tdew (degC)     | -8.9                | Temperature in Celsius relative to humidity. Dew Point is a measure of  the absolute amount of water in the air, the DP is the temperature at  which the air cannot hold all the moisture in it and water condenses. | -                 |
| 6     | rh (%)          | 93.3                | Relative Humidity is a measure of how saturated the air is with water  vapor, the %RH determines the amount of water contained within  collection objects.                                                           | -                 |
| 7     | VPmax (mbar)    | 3.33                | Saturation vapor pressure                                                                                                                                                                                            | +                 |
| 8     | VPact (mbar)    | 3.11                | Vapor pressure                                                                                                                                                                                                       | -                 |
| 9     | VPdef (mbar)    | 0.22                | Vapor pressure deficit                                                                                                                                                                                               | +                 |
| 10    | sh (g/kg)       | 1.94                | Specific humidity                                                                                                                                                                                                    | +                 |
| 11    | H2OC (mmol/mol) | 3.12                | Water vapor concentration                                                                                                                                                                                            | -                 |
| 12    | rho (g/m ** 3)  | 1307.75             | Airtight                                                                                                                                                                                                             | +                 |
| 13    | wv (m/s)        | 1.03                | Wind Speed                                                                                                                                                                                                           | +                 |
| 14    | max. wv (m/s)   | 1.75                | Maximum wind speed                                                                                                                                                                                                   | -                 |
| 15    | wd (deg)        | 152.3               | Wind direction in degrees                                                                                                                                                                                            | -                 |


## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:

| name | learning_rate | decay | beta_1 | beta_2 | epsilon | amsgrad | training_precision |
|----|-------------|-----|------|------|-------|-------|------------------|
|Adam|0.0010000000474974513|0.0|0.8999999761581421|0.9990000128746033|1e-07|False|float32|

 ## Model Plot

<details>
<summary>View Model Plot</summary>

![Model Image](./model.png)

</details>