| import pandas as pd | |
| def _map_to_pandas(rdds): | |
| """ Needs to be here due to pickling issues """ | |
| return [pd.DataFrame(list(rdds))] | |
| def toPandas(df, n_partitions=None): | |
| """ | |
| Returns the contents of `df` as a local `pandas.DataFrame` in a speedy fashion. The DataFrame is | |
| repartitioned if `n_partitions` is passed. |
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
| """ | |
| License: BSD | |
| Author: Mathieu Blondel | |
| Implements three algorithms for projecting a vector onto the simplex: sort, pivot and bisection. | |
| For details and references, see the following paper: | |
| Large-scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex | |
| Mathieu Blondel, Akinori Fujino, and Naonori Ueda. |