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Leipzig Machine Learning Group
conML
python
Commits
843c16a3
Commit
843c16a3
authored
3 years ago
by
thiuda
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# Constructivist Machine Learning (conML)
### Dependencies
-
Python >= 3.
6
-
Python >= 3.
7.4
-
(optional) conda or virtualenv
### Installation
0.
Install your favorite virtual environment and activate it. Run all commands inside your virtual
0.
Install your favorite virtual environment and activate it
, e.g. conda (recommended) or virtualenv
. Run all commands inside your virtual
enviroment.
1.
Move into your project folder and install all dependencies.
...
...
@@ -19,11 +19,11 @@ python setup.py install
```
### Documentation
You'll find the documentation at
[
readthedocs
](
https://conml.readthedocs.io/en/latest/
)
.
You'll find the documentation at
[
here
](
https://git.informatik.uni-leipzig.de/ml-group/conml/python/-/wikis/home
)
.
### Quick Start
#### Define main ingredients
####
1.
Define main ingredients
1.
Begin by importing the conML module:
...
...
@@ -91,7 +91,7 @@ def generate_blocks():
yield
df
.
iloc
[
start
:
start
+
block_size
]
```
#### Starting the knowledge search
####
2.
Starting the knowledge search
After defining the individual components and the block generator the knowledge search can be
started. Use a contextmanager to get a KnowlegeSearcher object. After every block processing, the
...
...
@@ -109,7 +109,7 @@ with conML.knowledge_searcher(*components, stdout=True) as searcher:
haldes
.
append
(
halde
)
```
#### Saving the knowledge database
####
3.
Saving the knowledge database
Now that you have successfully completed the knowledge search save the database on your harddrive.
```
python
...
...
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