📅  最后修改于: 2023-12-03 15:15:27.748000             🧑  作者: Mango
H2O.ai is a popular open-source machine learning platform that provides developers and data scientists with a comprehensive set of machine learning tools to build predictive models on big data. It is specially designed to handle big data and provide fast, precise and scalable predictive analytics solutions.
H2O.ai Python is a Python module that provides an easy-to-use interface to H2O.ai machine learning algorithms. With H2O.ai Python, you can easily explore, experiment and build predictive models using a variety of machine learning algorithms including Gradient Boosted Machines, Generalized Linear Models, Deep Learning, Random Forest, and more.
To start using H2O.ai Python module, you need to install it first. The installation process is straightforward and can be done by running the following command:
!pip install h2o
After installation, you can import the H2O module by running the following command:
import h2o
Next, you need to initialize H2O:
h2o.init()
Once initialized, you can start loading data into H2O.
data = h2o.import_file("path/to/csv")
After loading the data, you can start building predictive models. Here is an example of building a Gradient Boosted Machine model:
from h2o.estimators.gbm import H2OGradientBoostingEstimator
model = H2OGradientBoostingEstimator()
model.train(x=['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach', 'exang', 'oldpeak', 'slope', 'ca', 'thal'],
y='target',
training_frame=data)
H2O.ai Python provides the following machine learning algorithms:
H2O.ai Python is a powerful and user-friendly machine learning platform that allows developers and data scientists to build predictive models quickly and easily. With a wide range of machine learning algorithms to choose from, H2O.ai Python is a must-have tool for anyone interested in building predictive models on big data.