Create markdown representation in DTFactor
parent
fb3f00d656
commit
a27437690c
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@ -134,5 +134,38 @@ namespace gtsam {
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return boost::make_shared<DecisionTreeFactor>(dkeys, result);
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}
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/* ************************************************************************* */
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/* ************************************************************************* */
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std::string DecisionTreeFactor::_repr_markdown_() const {
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std::stringstream ss;
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// Print out header and calculate number of rows.
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ss << "|";
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size_t m = 1; // number of rows
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for (auto& key : cardinalities_) {
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size_t k = key.second;
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m *= k;
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ss << key.first << "(" << k << ")|";
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}
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ss << "value|\n";
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// Print out separator with alignment hints.
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size_t n = cardinalities_.size();
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ss << "|";
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for (size_t j = 0; j < n; j++) ss << ":-:|";
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ss << ":-:|\n";
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// Print out all rows.
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std::vector<std::pair<Key, size_t>> keys(cardinalities_.begin(),
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cardinalities_.end());
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const auto assignments = cartesianProduct(keys);
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for (auto &&assignment : assignments) {
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ss << "|";
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for (auto& kv : assignment) ss << kv.second << "|";
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const double value = operator()(assignment);
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ss << value << "|\n";
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}
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return ss.str();
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}
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/* ************************************************************************* */
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} // namespace gtsam
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@ -163,6 +163,14 @@ namespace gtsam {
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// }
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/// @}
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/// @name Wrapper support
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/// @{
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/// Render as markdown table.
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std::string _repr_markdown_() const;
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/// @}
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};
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// DecisionTreeFactor
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@ -39,6 +39,7 @@ virtual class DecisionTreeFactor: gtsam::DiscreteFactor {
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gtsam::DefaultKeyFormatter) const;
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bool equals(const gtsam::DecisionTreeFactor& other, double tol = 1e-9) const;
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string dot(bool showZero = false) const;
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string _repr_markdown_() const;
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};
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#include <gtsam/discrete/DiscreteConditional.h>
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@ -65,6 +66,7 @@ virtual class DiscreteConditional : gtsam::DecisionTreeFactor {
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size_t sample(const gtsam::DiscreteValues& parentsValues) const;
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void solveInPlace(gtsam::DiscreteValues@ parentsValues) const;
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void sampleInPlace(gtsam::DiscreteValues@ parentsValues) const;
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string _repr_markdown_() const;
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};
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#include <gtsam/discrete/DiscreteBayesNet.h>
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@ -30,8 +30,10 @@ using namespace gtsam;
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/* ************************************************************************* */
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TEST( DecisionTreeFactor, constructors)
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{
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// Declare a bunch of keys
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DiscreteKey X(0,2), Y(1,3), Z(2,2);
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// Create factors
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DecisionTreeFactor f1(X, "2 8");
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DecisionTreeFactor f2(X & Y, "2 5 3 6 4 7");
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DecisionTreeFactor f3(X & Y & Z, "2 5 3 6 4 7 25 55 35 65 45 75");
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@ -39,10 +41,6 @@ TEST( DecisionTreeFactor, constructors)
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EXPECT_LONGS_EQUAL(2,f2.size());
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EXPECT_LONGS_EQUAL(3,f3.size());
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// f1.print("f1:");
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// f2.print("f2:");
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// f3.print("f3:");
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DiscreteValues values;
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values[0] = 1; // x
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values[1] = 2; // y
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@ -55,37 +53,26 @@ TEST( DecisionTreeFactor, constructors)
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/* ************************************************************************* */
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TEST_UNSAFE( DecisionTreeFactor, multiplication)
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{
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// Declare a bunch of keys
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DiscreteKey v0(0,2), v1(1,2), v2(2,2);
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// Create a factor
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DecisionTreeFactor f1(v0 & v1, "1 2 3 4");
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DecisionTreeFactor f2(v1 & v2, "5 6 7 8");
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// f1.print("f1:");
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// f2.print("f2:");
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DecisionTreeFactor expected(v0 & v1 & v2, "5 6 14 16 15 18 28 32");
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DecisionTreeFactor actual = f1 * f2;
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// actual.print("actual: ");
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CHECK(assert_equal(expected, actual));
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}
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/* ************************************************************************* */
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TEST( DecisionTreeFactor, sum_max)
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{
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// Declare a bunch of keys
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DiscreteKey v0(0,3), v1(1,2);
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// Create a factor
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DecisionTreeFactor f1(v0 & v1, "1 2 3 4 5 6");
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DecisionTreeFactor expected(v1, "9 12");
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DecisionTreeFactor::shared_ptr actual = f1.sum(1);
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CHECK(assert_equal(expected, *actual, 1e-5));
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// f1.print("f1:");
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// actual->print("actual: ");
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// actual->printCache("actual cache: ");
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DecisionTreeFactor expected2(v1, "5 6");
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DecisionTreeFactor::shared_ptr actual2 = f1.max(1);
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@ -93,11 +80,26 @@ TEST( DecisionTreeFactor, sum_max)
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DecisionTreeFactor f2(v1 & v0, "1 2 3 4 5 6");
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DecisionTreeFactor::shared_ptr actual22 = f2.sum(1);
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// f2.print("f2: ");
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// actual22->print("actual22: ");
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}
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/* ************************************************************************* */
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TEST( DecisionTreeFactor, markdown)
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{
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DiscreteKey v0(0,3), v1(1,2);
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DecisionTreeFactor f1(v0 & v1, "1 2 3 4 5 6");
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string expected =
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"|0(3)|1(2)|value|\n"
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"|:-:|:-:|:-:|\n"
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"|0|0|1|\n"
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"|1|0|3|\n"
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"|2|0|5|\n"
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"|0|1|2|\n"
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"|1|1|4|\n"
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"|2|1|6|\n";
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string actual = f1._repr_markdown_();
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EXPECT(actual == expected);
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}
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/* ************************************************************************* */
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int main() {
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TestResult tr;
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