This code will help you to get the model.pkl file that I need to open in C++
# Load libraries
from sklearn.ensemble import RandomForestClassifier
from sklearn import datasets
from sklearn.externals import joblib
# Load data
iris = datasets.load_iris()
features = iris.data
target = iris.target
# Create decision tree classifer object
classifer = RandomForestClassifier()
# Train model
model = classifer.fit(features, target)
# Save the model as pickle file
joblib.dump(model, "model.pkl")
So, from the above code, we got model.pkl file, which is a machine learning model (random forest classifier). Now I need to read model.pkl file using C++ and test the model using sample data (new_observation). I can do it in python as follows:
from sklearn.externals import joblib
# Load model from file
classifer = joblib.load("model.pkl")
# Create new observation
new_observation = [[ 5.2, 3.2, 1.1, 0.1]]
# Predict observation's class
classifer.predict(new_observation)
But need to do this using C++, basically, I need equivalent code of the above 4 lines (python to C++) which I don't know.