Github user edespino commented on the issue:
https://github.com/apache/incubator-madlib/pull/149
There are a few varying MLP naming references scattered about. I believe
`Multilayer perceptron` is correct (no space or hyphen separating multi and
layer). I have seen `Multi Layer perceptron` and `Multi-layer perceptron` also
used. Can you please clean them up?
Here are those that I noticed:
```
-*- mode: ack; default-directory:
"~/workspace/MADlib/incubator-madlib/src/" -*-
Ack started at Wed Jul 12 16:12:18
ack -i "layer perceptron"
modules/convex/mlp_igd.cpp
55: * @brief Perform the multi-layer perceptron transition step
173: * @brief Perform the multi-layer perceptron final step
modules/convex/mlp_igd.hpp
25: * @brief Multi-layer perceptron (incremental gradient): Transition
function
30: * @brief Multi-layer perceptron (incremental gradient): State merge
function
35: * @brief Multi-layer perceptron (incremental gradient): Final function
40: * @brief Multi-layer perceptron (incremental gradient): Difference in
46: * @brief Multi-layer perceptron (incremental gradient): Convert
52: * @brief Multi-layer perceptron (incremental gradient): Predict
modules/convex/type/state.hpp
547: * incremental gradient descent for multi-layer perceptron
ports/postgres/modules/convex/mlp.sql_in
23: * @brief SQL functions for multi-layer perceptron
45:Multi Layer Perceptron (MLP) is a model for regression and
358:-# Generate a multilayer perceptron with a single hidden layer of 5
units.
416:-# Now train a regression model using a multilayer perceptron a single
hidden layer of two nodes.
ports/postgres/modules/convex/mlp_igd.py_in
23:@brief Multilayer perceptron using IGD: Driver functions
503: Multi Layer Perceptron (MLP) is a model for regression and
676: Multi Layer Perceptron (MLP) is a model for regression and
Ack finished at Wed Jul 12 16:12:18
```
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
