Metadata-Version: 2.1
Name: mlend
Version: 1.0.0.2
Summary: MLEnd Datasets
Home-page: https://MLEndDatasets.github.io
Download-URL: https://github.com/MLEndDatasets/MLEnd/tarball/1.0.0.2
Author: Jesús Requena Carrión and Nikesh Bajaj
Author-email: nikkeshbajaj@gmail.com
Maintainer: Nikesh Bajaj
Maintainer-email: nikkeshbajaj@gmail.com
License: MIT
Project-URL: Documentation, https://mlend.readthedocs.io/
Project-URL: Say Thanks!, https://github.com/MLEndDatasets
Project-URL: Source, https://github.com/MLEndDatasets/MLEnd
Project-URL: Tracker, https://github.com/MLEndDatasets/MLEnd/issues
Keywords: MLEndDatasets Datasets MachineLearning PrinciplesOfMachineLearning Data AI
Platform: any
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Multimedia
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Topic :: Multimedia :: Sound/Audio :: Speech
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Development Status :: 5 - Production/Stable
Requires-Python: >=3.5
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy >1.8
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: joblib
Requires-Dist: spkit >0.0.9.5

# MLEnd Datasets

### Links: **[Homepage](https://MLEndDatasets.github.io)** | **[Documentation](https://mlend.readthedocs.io/)** | **[Github](https://github.com/MLEndDatasets)**  |  **[PyPi - project](https://pypi.org/project/mlend/)** |     _ **Installation:** [pip install mlend](https://pypi.org/project/mlend/)
-----

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## Installation

**Requirement**:  numpy, matplotlib, scipy.stats, spkit

### with pip

```
pip install mlend
```

### update with pip

```
pip install mlend --upgrade
```


## Download data :  Spoken Numerals

```
import mlend
from mlend import download_spoken_numerals, spoken_numerals_load


datadir = download_spoken_numerals(save_to = '../Data/MLEnd', subset = {},verbose=1,overwrite=False)

```

## Create Training and Testing Sets

```
TrainSet, TestSet, MAPs = spoken_numerals_load(datadir_main = datadir, train_test_split = 'Benchmark_B', verbose=1,encode_labels=True)

```

## Download data :  London Sounds


```
import mlend
from mlend import download_london_sounds, london_sounds_load


datadir = download_london_sounds(save_to = '../Data/MLEnd', subset = {},verbose=1,overwrite=False)

```


## Download data :  Hums and Whistles


```
import mlend
from mlend import download_hums_whistles, hums_whistles_load


datadir = download_hums_whistles(save_to = '../Data/MLEnd', subset = {},verbose=1,overwrite=False)

```






# Contacts:
* **Jesús Requena Carrión**
* Queen Mary University of London

* **Nikesh Bajaj**
* Queen Mary University of London
* n.bajaj[AT]qmul.ac.uk, n.bajaj[AT]imperial[dot]ac[dot]uk

______________________________________
