Format

Signed-off-by: Adam Li <adam2392@gmail.com>

CITATION.cff

@@ -2,28 +2,27 @@
 ---
 # Metadata for citation of this software according to the CFF format (https://citation-file-format.github.io/)
 cff-version: 1.2.0
-title: 'Scikit-tree: Modern decision-trees compatible with scikit-learn in Python.'
-abstract: 'scikit-tree is a scikit-learn compatible API for building state-of-the-art decision trees. These include unsupervised trees, oblique trees, uncertainty trees, quantile trees and causal trees.'
+title: "Scikit-tree: Modern decision-trees compatible with scikit-learn in Python."
+abstract: "scikit-tree is a scikit-learn compatible API for building state-of-the-art decision trees. These include unsupervised trees, oblique trees, uncertainty trees, quantile trees and causal trees."
 authors:
-    - given-names: Adam
-      family-names: Li
-      affiliation: 'Department of Computer Science, Columbia University, New York, NY, USA'
-      orcid: 'https://orcid.org/0000-0001-8421-365X'
-    - given-names: Sambit
-      family-names: Panda
-      affiliation: 'Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA'
-      orcid: 'https://orcid.org/0000-0001-8455-4243'
-    - given-names: Haoyin
-      family-names: Xu
-      affiliation: 'Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA'
-      orcid: 'https://orcid.org/0000-0001-8235-4950'
+  - given-names: Adam
+    family-names: Li
+    affiliation: "Department of Computer Science, Columbia University, New York, NY, USA"
+    orcid: "https://orcid.org/0000-0001-8421-365X"
+  - given-names: Sambit
+    family-names: Panda
+    affiliation: "Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA"
+    orcid: "https://orcid.org/0000-0001-8455-4243"
+  - given-names: Haoyin
+    family-names: Xu
+    affiliation: "Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA"
+    orcid: "https://orcid.org/0000-0001-8235-4950"
 type: software
-repository-code: 'https://github.com/neurodata/scikit-tree'
+repository-code: "https://github.com/neurodata/scikit-tree"
 license: BSD-3
 keywords:
   - random forest
   - oblique trees
   - honest forests
   - statisical learning
   - machine learning
-...