From 0baa1c1beb9c52e4541c715e04ceb17402e05e19 Mon Sep 17 00:00:00 2001
From: jvech <jmvalenciae@unal.edu.co>
Date: Mon, 23 Oct 2023 10:48:18 -0500
Subject: setup: install_config added, README updated

---
 Makefile           |  4 ++++
 README.md          |  6 +++++-
 config.mk          |  1 +
 utils/settings.cfg | 10 +++++-----
 4 files changed, 15 insertions(+), 6 deletions(-)

diff --git a/Makefile b/Makefile
index 4df3d18..4521115 100644
--- a/Makefile
+++ b/Makefile
@@ -31,6 +31,10 @@ install: all
 	install -d $(MANPREFIX)/man1
 	install -m 644 doc/ml.1 $(MANPREFIX)/man1/ml.1
 
+install_config:
+	mkdir -p ~/.config/ml
+	sed "s!utils/weights.bin!${CFGPREFIX}/ml.weights!" utils/settings.cfg > ${CFGPREFIX}/ml.cfg
+
 uninstall:
 	rm -v $(BINPREFIX)/${BIN}
 	rm -v $(MANPREFIX)/man1/ml.1
diff --git a/README.md b/README.md
index 9baa0ac..1e53f55 100644
--- a/README.md
+++ b/README.md
@@ -12,7 +12,9 @@ A simple neural network maker developed to train json data
 ```
 git clone https://git.juanvalencia.xyz/ml
 cd ml
+make
 sudo make install
+make install_config
 ```
 
 ## Uninstall
@@ -22,16 +24,18 @@ sudo make uninstall
 ```
 
 ## Usage
+
 ```
 Usage: ml train [Options] JSON_FILE
    or: ml predict [-o FILE] FILE
-Train and predict json data
 
 Options:
   -h, --help               Show this message
   -a, --alpha=ALPHA        Learning rate (only works with train)
   -e, --epochs=EPOCHS      Epochs to train the model (only works with train)
   -o, --output=FILE        Output file (only works with predict)
+  -c, --config=FILE        Configuration filepath [default=~/.config/ml/ml.cfg]
+
 
 Examples:
   $ ml train -e 150 -a 1e-4 housing.json
diff --git a/config.mk b/config.mk
index b9350ff..0301b2e 100644
--- a/config.mk
+++ b/config.mk
@@ -2,3 +2,4 @@ PREFIX 			?= /usr/local
 
 BINPREFIX 		:= $(PREFIX)/bin
 MANPREFIX 		:= $(PREFIX)/share/man
+CFGPREFIX 		:= ~/.config/ml
diff --git a/utils/settings.cfg b/utils/settings.cfg
index eee85fc..83a0b62 100644
--- a/utils/settings.cfg
+++ b/utils/settings.cfg
@@ -1,15 +1,15 @@
 [net]
 loss = square ; options (square)
-epochs = 200 ; comment
-alpha = 1e-2
+epochs = 500 ; comment
+alpha = 1
 weights_path = utils/weights.bin
-inputs = x
-labels = y
+inputs = x, y
+labels = z
 
 ; activation options (relu, sigmoid, softplus, leaky_relu)
 
 [layer]
-neurons=20
+neurons=10
 activation=sigmoid
 
 [outlayer]
-- 
cgit v1.2.3-70-g09d2