assert.throws(function () {
SVR.predict(new la.Vector([1]));
});
assert.throws(function () {
SVR.fit(matrix, vector);
});
assert.doesNotThrow(function () {
SVR.predict(vec2);
});
it("should ignore extra parameters given to the function", function () {
var SVR = new analytics.SVR({ algorithm: "LIBSVM" });
var Model = SVR.getModel(1);
assert.equal(Model.weights.length, 0);
assert.equal(Model.bias, 0);
})
assert.doesNotThrow(function () {
SVR.fit(matrix, vector);
});
it("should return zero even if the parameters have been changed", function () {
var SVR = new analytics.SVR({ algorithm: "LIBSVM" });
SVR.setParams({ j: 3, maxTime: 2 });
var num = SVR.bias;
assert.equal(num, 0);
})
it("should return parameters of the model", function () {
var SVR = new analytics.SVR({ algorithm: "LIBSVM" });
var Model = SVR.getModel();
assert.equal(Model.weights.length, 0);
assert.equal(Model.bias, 0);
})
assert.throws(function () {
SVR.setParams();
});
it("should return an empty vector even if the parameters have been changed", function () {
var SVR = new analytics.SVR({ algorithm: "LIBSVM" });
SVR.setParams({ j: 3, maxTime: 2 });
var Vec = SVR.weights;
assert.equal(Vec.length, 0);
})
assert.throws(function () {
SVR.decisionFunction(matrix2);
});
it("should throw an exception if there is no given argument", function () {
var SVR = new analytics.SVR({ algorithm: "LIBSVM" });
assert.throws(function () {
SVR.setParams();
});
})
assert.throws(function () {
SVR.decisionFunction(vec2);
});
assert.doesNotThrow(function () {
SVR.decisionFunction(vec2);
})
assert.throws(function () {
SVR.predict(mat2);
});
assert.throws(function () {
SVR.predict(vector);
});
it("should throw an exception if the argument is not Json", function () {
var SVR = new analytics.SVR();
assert.throws(function () {
SVR.setParams(1);
});
})