Molly is a system for automated knowledge discovery.
This project uses Lein as its build system. In order to run Molly, you must have Java installed.
Other components require additional software.
A set of scripts for crawling mycampus and constructing the mycampus database. These live in src/python/molly/crawl.
Requirements:
- Python 2.x
- SQLAlchemy
- lxml
- requests
Running the benchmarks is a two step process. The first executes the benchmark as instructed by the configuration file. The second aggregates and filters the output from the first step.
Requirements:
- Python 3.x
- NumPy
- SciPy
- matplotlib
- pandas
There are three configuration methods.
Specifies the default database, index, and max-hops values. Also used to specifies top-k values.
Can override max-hops value from the properties file. Instructs the program on which actions to take. Run without any arguments to see all options.
Switches Default Desc
-c, --config Path to configuration (properties) file --algorithm Algorithm to run -s, --source Source node -t, --target Target node --max-hops Maximum number of hops before stopping --no-index, --index false Build an index of the database --no-benchmark, --benchmark false Run benchmarks -d, --no-debug, --debug false Displays additional information. -h, --no-help, --help false Show help
Blueprint for mapping the relational model to the document model.
See the Makefile for example command usage.
Copyright 2013 Richard Drake
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
With contributions from Dr. Ken Pu.